How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. Featuring:Dhananjay Singh – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:GroqSponsors:Augment Code - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates. ★ Support this podcast ★

Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. Featuring:Kyle Daigle – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XSponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. ★ Support this podcast ★

We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. Featuring:Kate Soule – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IBM GraniteIBM Granite on Hugging FaceIBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise  ★ Support this podcast ★

How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XScott Meyer - LinkedIn, XSponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.Show Notes:Chipp.aiChipp.ai's Discord ★ Support this podcast ★

It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Something missing or broken? PRs welcome! ★ Support this podcast ★

It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:smolagentsHugging Face agents courseSomething missing or broken? PRs welcome! ★ Support this podcast ★

There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Daniel’s blog post on DeepSeekDeepSeek R1 on Hugging FaceDeepSeekSomething missing or broken? PRs welcome! ★ Support this podcast ★

We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. Featuring:Paras Jain – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:GenmoSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Shopify – Sign up for a $1/month trial period at shopify.com/practicalaiEight Sleep – Up to $600 off Pod 4 Ultra — Go to eightsleep.com/changelog and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. DeleteMe – DeleteMe makes it quick, easy and safe to remove your personal data online. Featuring:Jeff Smith – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:CHRP | WebsiteMyCHRPCHRP | InstagramCHRP | LinkedInSomething missing or broken? PRs welcome! ★ Support this podcast ★

Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. Eight Sleep – Up to $600 off Pod 4 Ultra — Go to eightsleep.com/changelog and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. Featuring:Mike Tamir – LinkedInMatt Colyer – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:ShopifyShopify’s Winter Edition ’25Something missing or broken? PRs welcome! ★ Support this podcast ★

Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.Join the discussionChangelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. WorkOS – AuthKit offers 1,000,000 monthly active users (MAU) free — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at WorkOS.com and AuthKit.comFeaturing:Alexandre Défossez – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:KyutaiKyutai on GitHubKyutai on Hugging FaceSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.Join the discussionChangelog++ members save 8 minutes on this episode because they made the ads disappear. Join today!Sponsors:WorkOS – AuthKit offers 1,000,000 monthly active users (MAU) free — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at WorkOS.com and AuthKit.comNotion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Retool – The low-code platform for developers to build internal tools — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at retool.com/changelogFeaturing:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:New Models Qwen2.5 Alibaba’s Qwen AI ModelQwen2.5 Turbo Reads Ten Novels in One MinuteDeepSeek DeepSeek API Docs UpdateFLUX Black Forest Labs’ FLUX.1-dev on Hugging FaceOuteTTS OuteTTS 0.1 - 350M BlogOuteTTS 0.2 - 500M BlogSmol TTS Update on LinkedInSmolLVM SmolLVM Updates on LinkedInWhat Donald Trump’s Win Means for AIPractical AI Podcast: Episode 244GetPickle.aiDocling Docling Paper on arXivDocling GitHub RepositoryRed Hat Blog on DoclingLinkedIn Post on PDF Table ExtractionHugging Face Blog on Observers SDKAI and Commerce Stripe Blog: Adding Payments to Agentic WorkflowsLinkedIn Announcement: Payments Integration SDKSomething missing or broken? PRs welcome! ★ Support this podcast ★

We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewarding this project along with a variety of other open source projects. Yann Lechelle and Guillaume Lemaitre share some of the vision behind the company and talk about the future of scikit-learn!Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.comShopify – Sign up for a $1/month trial period at shopify.com/practicalaiFeaturing:Yann Lechelle – LinkedInGuillaume Lemaitre – GitHub, LinkedIn, Mastodon, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes::probabl.TechCrunch: Probabl is a new AI company built around popular library scikit-learnscikit-learnSomething missing or broken? PRs welcome! ★ Support this podcast ★

It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.Join the discussionChangelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. Eight Sleep – Up to $600 off Pod 4 Ultra Go to eightsleep.com/changelog and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps Community “Agents in Production” eventSomething missing or broken? PRs welcome! ★ Support this podcast ★

This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research & Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyber threat actors and cyber defenders.Join the discussionChangelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Eight Sleep – Take your sleep and recovery to the next level. Go to eightsleep.com/PRACTICALAI and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. Featuring:Gregory Richardson – LinkedInIsmael Valenzuela – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:The AI Standoff: Attackers vs. Defenders | Blackberry BlogBlackberrySomething missing or broken? PRs welcome! ★ Support this podcast ★

Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence’.Join the discussionChangelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!Sponsors:Timescale – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. Retool – The low-code platform for developers to build internal tools — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at retool.com/changelogDeleteMe – DeleteMe makes it quick, easy and safe to remove your personal data online. Featuring:Elham Tabassi – Website, LinkedInChris Benson – Website, GitHub, LinkedIn, XShow Notes:Elham Tabassi | NISTElham Tabassi | TIME 100 / AINIST Trustworthy & Responsible AI Resource CenterNIST AI Risk Management Framework (AI RMF)NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF)NIST AI RMF PlaybookNIST AI RMF DevelopmentNIST AI Risk Management Framework - EngageNIST Risk Management Framework Aims to Improve Trustworthiness of Artificial IntelligenceWhite House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial IntelligenceSomething missing or broken? PRs welcome! ★ Support this podcast ★

We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Timescale – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Featuring:Till Döhmen – Website, GitHub, LinkedIn, XAdithya Krishnan – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:DuckDBMotherDuckIntroducing FixIt: an unreasonably effective AI error fixer for SQLSomething missing or broken? PRs welcome! ★ Support this podcast ★

Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.comShopify – Sign up for a $1/month trial period at shopify.com/practicalaiNotion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. Featuring:Adam Azzam – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PrefectMarvinControlFlowSomething missing or broken? PRs welcome! ★ Support this podcast ★

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.Join the discussionChangelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.comEight Sleep – Take your sleep and recovery to the next level. Go to eightsleep.com/PRACTICALAI and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. Featuring:Ben Burtenshaw – GitHub, LinkedIn, XDavid Berenstein – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ArgillaDistilabelSynthetic Data Generator UIHugging Face and Argilla meetupsSomething missing or broken? PRs welcome! ★ Support this podcast ★

We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches & highlight what it takes (practically) to show what is possible, doable & scalable with AI.Join the discussionChangelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.comEight Sleep – Take your sleep and recovery to the next level. Go to eightsleep.com/PRACTICALAI and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. Featuring:Mike Lewis – LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:SynthoniSomething missing or broken? PRs welcome! ★ Support this podcast ★

Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.Join the discussionChangelog++ members save 8 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!Featuring:Prashanth Rao – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Kùzu: A highly scalable, extremely fast, easy-to-use embeddable, open source graph database: GitHub repoThe goals and vision of Kùzu: Blog postKùzu YouTube channelGraph RAG strategies with Kùzu: GitHub repoPrashanth Rao’s blog: thedataquarry.comSomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Probabl seed funding announcementOpenAI o1 announcementPurdue Data4Good competitionMLOps Community homepage and Slack workspaceLatent Space homepage and Discord serverJoin the Practical AI community — it’s free! Connect with us in the #practicalai Slack channel. The community is here for you as a place to below, to bounce ideas around, or to get feedback on a conference to attend or talk you’d like to give.Something missing or broken? PRs welcome! ★ Support this podcast ★

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.Join the discussionChangelog++ members save 7 minutes on this episode because they made the ads disappear. Join today!Sponsors:Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes. Shopify – Sign up for a $1/month trial period at shopify.com/practicalaiFeaturing:Dinis Cruz – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The Cyber BoardroomOWASP - Top 10 for LLMs and Generative AI AppsOWASP - Generative AISomething missing or broken? PRs welcome! ★ Support this podcast ★

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!Featuring:Daniel Whitenack – Website, GitHub, XShow Notes:scikit-learnAutoML in Google CloudSomething missing or broken? PRs welcome! ★ Support this podcast ★

How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Featuring:Shahul Es – GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:RagasSomething missing or broken? PRs welcome! ★ Support this podcast ★

If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.Join the discussionChangelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!Sponsors:Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Porkbun – Go to porkbun.com to get .app, .dev, or .foo domain names at Porkbun for only $1 for the first year! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Donato Capitella – WebsiteDaniel Whitenack – Website, GitHub, XShow Notes:The Security Canvas for LLM ApplicationsLLM Security Chronicles Playlist on YouTubeShould you let ChatGPT control your browser?When your AI assistant has an evil twinPliny the Liberator - jailbreak guruSomething missing or broken? PRs welcome! ★ Support this podcast ★

You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regulation with the EU’s AI Act coming into force.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Something missing or broken? PRs welcome! ★ Support this podcast ★

There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Intel Innovation 2024 – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! Learn more OR registerMotific – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at motific.aiFeaturing:Benjamin Consolvo – GitHub, LinkedIn, XGreg Serochi – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Intel’s AI & Machine Learning Ecosystem Developer ResourcesIntel® Tiber™ Developer CloudIntel Gaudi AI ProcessorsOptimum HabanaOverview of AI tools from IntelOpenVINOCase Study: Prediction Guard De-Risks LLM Applications at ScaleHow Prediction Guard Delivers Trustworthy AI on Intel® Gaudi® 2 AI AcceleratorsSomething missing or broken? PRs welcome! ★ Support this podcast ★

We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-prem infrastructure, has few data science professionals, and operates in high risk environments.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Intel Innovation 2024 – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! Learn more OR registerMotific – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at motific.aiFeaturing:Bengsoon Chuah – GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLFlowPrefectDuckDBAgrillaSomething missing or broken? PRs welcome! ★ Support this podcast ★

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Intel Innovation 2024 – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! Learn more OR registerMotific – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at motific.aiFeaturing:Demetrios Brinkmann – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps CommunityMLOps Community PodcastGartner Hype Cycle for Artificial Intelligence, 2024Something missing or broken? PRs welcome! ★ Support this podcast ★

In the midst of the demos & discussion about OpenAI’s GPT-4o voice assistant, Kyutai swooped in to release the first real-time AI voice assistant model and a pretty slick demo (Moshi). Chris & Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype cycle.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. Motific – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at motific.aiFeaturing:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:KyutaiKyutai keynote videoGartner Hype Cycle for AISomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. Featuring:Roie Schwaber-Cohen – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PineconePinecone | BlogSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. Featuring:Nestor Maslej – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Stanford HAI2024 AI Index ReportSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.Join the discussionChangelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Apple IntelligenceIntroducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and MacThe top AI features Apple announced at WWDC 2024Hybrid Search: Combining BM25 and Semantic Search for Better Results with LangchainAdvanced RAG: Precise Zero-Shot Dense Retrieval with HyDESomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.Join the discussionChangelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. NordVPN – Get NordVPN 2Y plan + 4 months extra at nordvpn.com/practicalai It’s risk-free with Nord’s 30-day money-back guarantee. Featuring:Denis Yarats – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PerplexityPerplexity | BlogPerplexity | Getting StartedSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. Featuring:Ramin Mohammadi – GitHub, LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:TausightSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:OllamaLM Studiollama.cppOpenVINOMLPerf client working groupArticle - 5 top small language modelsGPTQ articleArticle - Which quantization method is right for youSomething missing or broken? PRs welcome! ★ Support this podcast ★

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning.Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act & a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act & the Artificial Intelligence Environmental Impacts Act.We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool & his leadership in bringing that expertise to Capitol Hill.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Don Beyer – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:U.S. Representative Don BeyerCongressman Don Beyer, Mason student and lifelong learnerBeyer Statement On President Biden’s AI Executive OrderBeyer Appointed To Bipartisan Task Force On Artificial IntelligenceSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Featuring:Daniel Whitenack – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Hello GPT-4oAI Engineer World’s FairAIQCON - the AI Quality ConferenceBrave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)Something missing or broken? PRs welcome! ★ Support this podcast ★

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Josh Albrecht – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:CARBS (Imbue’s cost-aware hyperparameter optimizer)Imbue paper on the stepwise nature of self-supervised learningA paper on initialization/feature learning co-authored by Jamie Simon, a member of Imbue’s technical teamImbueSomething missing or broken? PRs welcome! ★ Support this podcast ★

Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI.Join the discussionChangelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!Sponsors:Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Pentagon takes AI dogfighting to next level in real-world flight tests against human F-16 pilotTop US Air Force official rides in front seat of autonomous F-16Open Platform for Enterprise AISomething missing or broken? PRs welcome! ★ Support this podcast ★

We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (like RAG and plugins).Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Danny Avila – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Register for our next webinar (similar to this one) focused on multimodal AILibreChatPrediction GuardSomething missing or broken? PRs welcome! ★ Support this podcast ★

First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Yoav Shoham – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Jamba - A Groundbreaking SSM - Transformer Open ModelAI21 LabsSomething missing or broken? PRs welcome! ★ Support this podcast ★

2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.Join the discussionChangelog++ members save 26 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:UdioCLIPBridgeTowerLLaVASomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Demetrios Brinkmann – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps CommunityAI Quality ConferenceEvaluation SurveyRAG failover talk from Jerry LuiPrompt Templates the SongSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this fully connected episode, Daniel & Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative AI interfaces and search engines.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NVIDIA GTC March 2024 Keynote with NVIDIA CEO Jensen Huang5 Forces That Will Drive the Adoption of GenAI | Harvard Business ReviewHere’s why AI search engines really can’t kill Google | The VergeSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started. The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Kent Quirk – GitHub, Mastodon, XSharon DiOrio – XSteven Pyle – LinkedInJosé Valim – Website, GitHub, XJerod Santo – GitHub, LinkedIn, Mastodon, XKevin Ball – Website, GitHub, LinkedIn, XNick Nisi – Website, GitHub, Mastodon, XJohnny Boursiquot – Website, GitHub, XAdam Stacoviak – Website, GitHub, LinkedIn, Mastodon, XShow Notes:JS Party #317 (This will 404 until Thursday!)Go Time #306Changelog & Friends #28Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Shopify – Sign up for a $1/month trial period at shopify.com/practicalaiFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Jared Zoneraich – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PromptLayerSomething missing or broken? PRs welcome! ★ Support this podcast ★

Runway is an applied AI research company shaping the next era of art, entertainment & human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text & image to video models. We hope you find Anastasis’s founder story as inspiring as Chris did.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Anastasis Germanidis – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Runway | WebsiteRunway | TwitterRunway | AI Film Festival (AIFF)Runway | Gen-2Runway | Gen48Something missing or broken? PRs welcome! ★ Support this podcast ★

While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Sentry – Launch week! New features and products all week long (so get comfy)! Tune in to Sentry’s YouTube and Discord daily at 9am PT to hear the latest scoop. Too busy? No problem - enter your email address to receive all the announcements (and win swag along the way). Use the code CHANGELOG when you sign up to get $100 OFF the team plan. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:YOLOv9:Yolov9: Learning What You Want to Learn Using Programmable Gradient InformationYolov9 Object Detection with Programmable Gradient Information (PGI) and Generalized EfficientYolov9: A Comprehensive Guide and Custom Dataset Fine-TuningYOLOv9 SOTA Machine Learning Object Detection ModelYOLOv9Unleashing the Power of YOLOv9YOLOv9 with NNCF and OpenVINOArXiv:2402.13616Parameter efficient LLMs:Hugging Face Paper page, 1-Bit LLMsArXiv paper: “The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits”Qualcomm AI HubSomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Data synthesis for SOTA LLMs with Karan Malhotra from Nous Research (Practical AI #255)Article: Representation Engineering Mistral-7B an Acid TripOpenAI SoraSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris & Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).Together, Jack, Daniel & Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidance on how to achieve the best path forward with artificial intelligence.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Shopify – Sign up for a $1/month trial period at shopify.com/practicalaiFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Jack Shanahan – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Gen AI Master classWritten Testimony of Lieutenant General John (Jack) N.T. Shanahan (USAF, Ret.) AI Insight Forum: National SecuritySoftware Defined Warfare: Architecting the DOD’s Transition to the Digital AgeArtificial Intelligence and Geopolitics:vHitching the Disruptive Technology Cart to the Geopolitics Horse | LinkedInJoint Artificial Intelligence Center (JAIC) | WikipediaSomething missing or broken? PRs welcome! ★ Support this podcast ★

Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:GeminiFCC decision on AI voicesFCC Bans AI Voices in Unsolicited RobocallsPrompt Engineering GuideSomething missing or broken? PRs welcome! ★ Support this podcast ★

Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Karan Malhotra – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Nous on Hugging FaceNous ResearchSomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.comShopify – Sign up for a $1/month trial period at shopify.com/practicalaiFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:rabbit r1Salesforce blog on LAMsLangChain toolsMM-LLMs: Recent Advances in MultiModal Large Language ModelsSomething missing or broken? PRs welcome! ★ Support this podcast ★

Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.comChangelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Raza Habib – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:HumanloopSomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.comChangelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Rahul Nair – GitHub, LinkedIn, XRyan Metz – LinkedIn, XEugenie Wirz – LinkedInRalph de Wargny – LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:Advent of GenAI HackathonIntel’s Liftoff program for startupsPrediction GuardBlog posts: Recap of Day 1Recap of Day 2Recap of Day 3Recap of Day 4Recap of Day 5Final ChallengeSomething missing or broken? PRs welcome! ★ Support this podcast ★

We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Something missing or broken? PRs welcome! ★ Support this podcast ★

Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in episode #234. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Chang She – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:LanceDBEpisode #234 “Vector DBs beyond the hype”Something missing or broken? PRs welcome! ★ Support this podcast ★

The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs & more.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Casper da Costa-Luis – GitHubChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:State of Open Source AI Book - 2023 EditionSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this enlightening episode, we delve deeper than the usual buzz surrounding AI’s perils, focusing instead on the tangible problems emerging from the use of machine learning algorithms across Europe. We explore “suspicion machines” — systems that assign scores to welfare program participants, estimating their likelihood of committing fraud. Join us as Justin and Gabriel share insights from their thorough investigation, which involved gaining access to one of these models and meticulously analyzing its behavior.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Gabriel Geiger – XJustin-Casimir Braun – XDaniel Whitenack – Website, GitHub, XShow Notes:Article - “Inside the suspicion machine”The methodology behind Justin and Gabriel’s reportSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel & Chris conduct a retrospective analysis of the recent OpenAI debacle in which CEO Sam Altman was sacked by the OpenAI board, only to return days later with a new supportive board. The events and people involved are discussed from start to finish along with the potential impact of these events on the AI industry.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Traceroute – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:OpenAI | WikipediaHow OpenAI’s origins explain the Sam Altman dramaOpenAI chaos: A timeline of firings, interim CEOs, re-hirings and other twistsOpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources sayEveryone’s talking about OpenAI’s Q*. Here’s what you need to know about the mysterious project.It is Time to Profit off of the OpenAI DramaYann LeCun | LinkedInAdvent of GenAI HackathonSomething missing or broken? PRs welcome! ★ Support this podcast ★

Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Advent of GenAI Hackathon – Join us for a 7-day journey into the world of Generative AI with the Advent of GenAI Hackathon. Learn more here! Traceroute – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! Featuring:Russ Maschmeyer – GitHub, LinkedIn, Mastodon, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Advent of GenAI HackathonShopify’s HF Space for background replacementShopify MagicSomething missing or broken? PRs welcome! ★ Support this podcast ★

According to Solana Larsen: “Too often, it feels like we have lost control of the internet to the interests of Big Tech, Big Data — and now Big AI.” In the latest season of Mozilla’s IRL podcast (edited by Solana), a number of stories are featured to highlight the trailblazers who are reclaiming power over AI to put people first. We discuss some of those stories along with the issues that they surface.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Traceroute Podcast – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Solana Larsen – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Blog post announcing this season of IRL about putting people first in AIThe IRL podcastSomething missing or broken? PRs welcome! ★ Support this podcast ★

On Monday, October 30, 2023, the U.S. White House issued its Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Two days later, a policy paper was issued by the U.K. government entitled The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023. It was signed by 29 countries, including the United States and China, the global leaders in AI research.In this Fully Connected episode, Daniel and Chris parse the details and highlight key takeaways from these documents, especially the extensive and detailed executive order, which has the force of law in the United States.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Traceroute Podcast – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial IntelligenceFACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial IntelligenceThe Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023Something missing or broken? PRs welcome! ★ Support this podcast ★

We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Tuhin Srivastava – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:BasetenSomething missing or broken? PRs welcome! ★ Support this podcast ★

It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – NODES 2023 is coming in October! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Nathaniel Simard – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:burn-rs: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust.Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris & Daniel are out this week, so we’re bringing you a panel discussion from All Things Open 2023 moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – NODES 2023 is coming in October! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Emily Freeman – Website, GitHub, Mastodon, XJames Q Quick – Website, GitHub, XJerod Santo – GitHub, LinkedIn, Mastodon, XShow Notes:Something missing or broken? PRs welcome! ★ Support this podcast ★

What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – NODES 2023 is coming in October! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:BigDLArticle: Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRAPrevious episode: Running large models on CPUsBaseten’s TrussSeldonHugging Face’s TGIIntel Gaudi 2Intel TDXSomething missing or broken? PRs welcome! ★ Support this podcast ★

Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.Join the discussionChangelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!Sponsors:Statsig – Build faster with confidence. Startups to Fortune 500s rely on Statsig to make data-driven decisions. Ship smarter and faster with the unified platform for feature flags, experimentation, and analytics. Our listeners get free white-glove onboarding, migration support, and 5 million free events per month. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Dominik Klotz – GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:askui.comaskui on GitHubaskui on LinkedInaskui on Twitter/XSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Demetrios Brinkmann – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps CommunityLLM survey reportLLMs in Production Event - Part IIISomething missing or broken? PRs welcome! ★ Support this podcast ★

You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive results when automated code optimization is run on existing open source projects.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Mike Basios – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:TurinTech AISomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Emerging Architectures for LLM ApplicationsSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM! They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks. In particular, they review the White House’s approach, noting the potential for unexpected consequences.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Announcing SDXL 1.0GitHub, Hugging Face, urge EU to relax open-source AI rulesWhite House: Blueprint for an AI Bill of RightsLEARNING RESOURCE!Patterns for Building LLM-based Systems & ProductsSomething missing or broken? PRs welcome! ★ Support this podcast ★

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Prashanth Rao – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Vector databases blog posts from Prashanth:(Part 1): What makes each one different?(Part 2): Understanding their internals(Part 3): Not all indexes are created equalSomething missing or broken? PRs welcome! ★ Support this podcast ★

It was an amazing week in AI news. Among other things, there is a new NeRF and a new Llama in town!!! Zip-NeRF can create some amazing 3D scenes based on 2D images, and Llama 2 from Meta promises to change the LLM landscape. Chris and Daniel dive into these and they compare some of the recently released OpenAI functionality to Anthropic’s Claude 2.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:What is NeRF articleLlama 2: Llama 2 siteLlama 2 paperOpenAI Code InterpreterAnthropic Claude 2Learning resources:Hugging Face guide to Llama 2LLaMA 2 - Every Resource you needOpenAI code interpreter articleSomething missing or broken? PRs welcome! ★ Support this podcast ★

As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyright, dataset licensing/usage, and the future of knowledge work.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Damien Riehl – LinkedIn, Mastodon, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Talk - Legal and Practical Consequences of Generative AI (LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)Talk - Why All Melodies Should Be Free for Musicians to Use | Damien Riehl | TEDSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Varun Mohan – LinkedInAnshul Ramachandran – LinkedInChris Benson – Website, GitHub, LinkedIn, XShow Notes:CodeiumWhat GitHub Copilot Lacks: Fine-tuning on Your Private CodeSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Stable Diffusion XL 0.9OpenChatZeroscope XLSalesforce XGenAI is Eating The WorldLLM universitySomething missing or broken? PRs welcome! ★ Support this podcast ★

Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Gabriel Ortiz – LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:Automated cartography (integration of different models: buildings, roads, vegetation)Detecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imageryTracking invader speciesTracking urban growth with AISpatial behavior in beaches using AIInference with SAM (Meta’s Segment Anything Model) over urban areas/viewer.html?webmap=4af373c294e24394ae25e4acadab71ccSuperResolution on aerial or satellite imageryMore of the work of Gabriel and his team can be seen here and also on his LinkedIn profileSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NYT Article: “Europeans Take a Major Step Toward Regulating A.I.”Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Shawn Wang – Website, GitHub, XAlessio Fanelli – Website, GitHub, XDaniel Whitenack – Website, GitHub, XShow Notes:Latent Space podcastFeatured Latent Space episodes: BenchmarksReza ShabaniMosaicML and MPTSegment AnythingMike ConoverFeatured Practical AI episodes: From notebooks to Netflix scale with MetaflowCapabilities of LLMs 🤯 ML at small organizationsPrediction GuardData DanSomething missing or broken? PRs welcome! ★ Support this podcast ★

Lately.AI has been working for years on content generation systems that capture your unique “voice” and are tailored to your unique audience. At first, they didn’t know that they were going to build an AI system, but now they have a state-of-the-art generative platform that provides much more than “prompting” out of thin air. Lately.AI’s CEO Kate explain their journey, her perspective on generative AI in marketing, and much more in this episode!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Kate Bradley Chernis – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Lately.AISomething missing or broken? PRs welcome! ★ Support this podcast ★

You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.In this episode, Chris interviews Daniel about his new company called Prediction Guard, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Prediction GuardPrediction Guard docsLLMs in Production II eventSomething missing or broken? PRs welcome! ★ Support this podcast ★

Large Language Models (LLMs) continue to amaze us with their capabilities. However, the utilization of LLMs in production AI applications requires the integration of private data. Join us as we have a captivating conversation with Jerry Liu from LlamaIndex, where he provides valuable insights into the process of data ingestion, indexing, and query specifically tailored for LLM applications. Delving into the topic, we uncover different query patterns and venture beyond the realm of vector databases.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Jerry Liu – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:LlamaIndex DocsLlamaHubLlamaIndex BlogSomething missing or broken? PRs welcome! ★ Support this podcast ★

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Erin Mikail Staples – Mastodon, XDaniel Whitenack – Website, GitHub, XShow Notes:Label StudioSlides from Erin’s recent PyData talk on RLHFSomething missing or broken? PRs welcome! ★ Support this podcast ★

There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Travis Fischer – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ChatGPT Hacker CommunityChatGPTBotSomething missing or broken? PRs welcome! ★ Support this podcast ★

Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all.Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Mark Kurtz – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Neural MagicSparseMLSparseZooNeural Magic Scales up MLPerf™ Inference v3.0 Performance With Demonstrated Power Efficiency; No GPUs NeededDeploy Optimized Hugging Face Models With DeepSparse and SparseZooSparseGPT: Remove 100 Billion Parameters for FreeSomething missing or broken? PRs welcome! ★ Support this podcast ★

With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Featuring:Paul Hünermund – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:How Can Causal Machine Learning Improve Business Decisions?Causal Inference is More than Fitting the Data WellCausal Data Science in PracticeCausal DiscoveryDoWhy GithubThe Book of WhyCausal Data Science MeetingPaul’s study on causal ML adoption in industry (incl. an overview of useful software packages in Table 3)Causal Data Science MOOC on UdemySomething missing or broken? PRs welcome! ★ Support this podcast ★

Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Rajiv Shah – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHubGenerative Agents: Interactive Simulacra of Human BehaviorWolfram ChatGPTComparing LLMsLangChainLearn about LLMs: Emergence and reasoning in large language models (Jason Wei)Sparks of Artificial General IntelligenceLearning PromptingGetting Started with Transformers: Transformers course (free)Tasks at Hugging FaceTraining your own LLM Models: Efficient Large Language Model training with LoRA and Hugging FacePEFT (Parameter-Efficient Fine-Tuning)Dolly blog postIllustrating Reinforcement Learning from Human FeedbackSomething missing or broken? PRs welcome! ★ Support this podcast ★

What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Amanda Wasielewski – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Computational Formalism Art History and Machine LearningSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Christof Henkel – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Christof Henkel | KaggleNVIDIA Kaggle GrandmastersKaggleNVIDIA RAPIDSNVIDIA Data Loading Library (DALI)Something missing or broken? PRs welcome! ★ Support this podcast ★

We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants?Beth Rudden of Bast.ai has been thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comTypesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Beth Rudden – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Bast.aiSomething missing or broken? PRs welcome! ★ Support this podcast ★

Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practical tips related to integrating LLMs into production systems.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Bryan McCann – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:You.comOpen Platform for developersJoin the You.com Discord serverSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Erik Bernhardsson – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ModalEpisode 142 discussing Erik’s “building a data team” articleSomething missing or broken? PRs welcome! ★ Support this podcast ★

With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs.Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Generative AI model behavior in the news:Microsoft’s AI chatbot is going off the railsA Conversation With Bing’s Chatbot Left Me Deeply UnsettledSydney’s gaslightingChatGPT political biasStable Diffusion amplification of stereotypesUseful guides related to prompt engineering:co:here prompt engineering guidePrompt engineering overview from Elvis Savaria10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3Image generation prompt engineering guides: see here and hereSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Jay Alammar – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Jay’s popular blog (with posts including “The Illustrated Transformer”)co:hereTopically sandbox - topic modelingco:here’s prompt engineering guideSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Erik Dunteman – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Banana - Scale your machine learning inference and training on serverless GPUs.Something missing or broken? PRs welcome! ★ Support this podcast ★

Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Demetrios Brinkmann – XMihail Eric – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps.CommunitySomething missing or broken? PRs welcome! ★ Support this podcast ★

What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Beau Perschall – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NVIDIA’s OmniverseBeau’s GTC 2023 session around how to build simulation-ready USD 3D assetsTech blog around Omniverse and SimReady assetsSomething missing or broken? PRs welcome! ★ Support this podcast ★

Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Nader Khalil – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:brev.devDISCOUNT for our listeners 🔥:Use coupon code “practical-ai-2023” for 5 hours of free GPU compute!brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to this link to expose the button.Something missing or broken? PRs welcome! ★ Support this podcast ★

Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:The Changelog – Conversations with the hackers, leaders, and innovators of the software world Featuring:Kirsten Lum – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:storytellers.aiTrelloSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ChatGPTOpenAI Blog: ChatGPTIllustrating Reinforcement Learning from Human Feedback (RLHF)Something missing or broken? PRs welcome! ★ Support this podcast ★

While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans.The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Just Zwennicker – LinkedInAndiswa Bukula – XRooweither Mabuya – XBonaventure Dossou – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:EMNLP 2022 papers from the guests:Towards a general purpose machine translation system for SranantongoMasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionAfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesOther links relevant to the discussion:MasakhaneLanfricaThe South African Centre for Digital Language Resources (SADiLaR)Something missing or broken? PRs welcome! ★ Support this podcast ★

José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Ricardo Rei – XJosé Souza – XDaniel Whitenack – Website, GitHub, XShow Notes:UnbabelCOMETThe WMT workshop/ conferenceEMNLPSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Matthew Lanham – Website, XMark Tabladillo – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Purdue University’s Krannert School of BusinessMaster the basics of Azure: AI FundamentalsAzure Architecture CenterSIL InternationalThe bloom-captioning datasetBooks“Applied Machine Learning and AI for Engineers” by Jeff ProsiseSomething missing or broken? PRs welcome! ★ Support this podcast ★

There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot violate open source licenses? Does Galactica output dangerous science-related content? In this episode, we dive into the controversies and risks, and we discuss the benefits of these technologies.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Related to Copilot:Article - “GitHub Copilot Isn’t Worth the Risk”TabnineBig Code ProjectRelated to Galactica:Model websiteArticle: “Galactica: the AI knowledge base that makes stuff up”Books“Interpretable Machine Learning” by Christoph Molnar“Modeling Mindsets” by Christoph MolnarSomething missing or broken? PRs welcome! ★ Support this podcast ★

Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading subject matter experts to provide Trust & Safety teams with precise, real-time data, in-depth intelligence, and automated tools to protect users and ensure safe online experiences.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Matar Haller – GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ActiveFenceSomething missing or broken? PRs welcome! ★ Support this podcast ★

It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Yonatan Cohen – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Quantum MachinesSomething missing or broken? PRs welcome! ★ Support this podcast ★

Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Daniel’s team license from recent workGraph Neural Network courses from Zak JostCoqui voice studioSomething missing or broken? PRs welcome! ★ Support this podcast ★

This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (#120). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how this technology is being adopted at large, well-established companies.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Mary Fischer-Mullins – LinkedInYanis Caritu – LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:AryballeCox AutomotivePrevious episode with AryballeSomething missing or broken? PRs welcome! ★ Support this podcast ★

People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:John K. Thompson – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Use the code podpracticalAI19 for 40% off of Data for All, along with all Manning products in all formats!!!Books“Data for All” by John K. ThompsonJohn’s other books: “Building Analytics Teams” by John K. Thompson“Analytics” by John Thompson and Shawn RogersSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris sits down with Ankur Goyal to talk about DocQuery, Impira’s new open source ML model. DocQuery lets you ask questions about semi-structured data (like invoices) and unstructured documents (like contracts) using Large Language Models (LLMs). Ankur illustrates many of the ways DocQuery can help people tame documents, and references Chris’s real life tasks as a non-profit director to demonstrate that DocQuery is indeed practical AI.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Ankur Goyal – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:DocQueryDocQuery AnnouncementDocQuery Blog AnnouncementDocQuery | GitHubImpiraSomething missing or broken? PRs welcome! ★ Support this podcast ★

It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Mark Christensen – Website, LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:Xelex.aiSomething missing or broken? PRs welcome! ★ Support this podcast ★

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Charles Martin – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:WeightWatcherTalk from the Silicon Valley ACM meetupA deep dive into the theory behind WeightWatcher (a talk from ENS)Something missing or broken? PRs welcome! ★ Support this podcast ★

The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2). (Image from stability.ai)Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Announcement blog postStable diffusion paperBlog post about the model from Marc PäpperStable Diffusion on Hugging FaceHugging Face Diffusers librarySomething missing or broken? PRs welcome! ★ Support this podcast ★

AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools 😊) in this fully connected episode.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Automation and creativityGoodbye, humans: Call centers ‘could save $80b’ switching to AIDALL-E can now use AI to extend images as a human artist might -An AI-Generated Artwork Won First Place at a State Fair Fine Arts Competition, and Artists Are PissedNation states and AIUndeclared pools in France uncovered by AI technologyFrance reveals hidden swimming pools with AI, taxes themNvidia says U.S. government allows A.I. chip development in ChinaForeign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More DangerousResourcesOpen RAIL LicensesNormConfSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Google’s Responsible AI Practices - PrivacyWhat is Data De-identification and Why is It Important?Hugging Face - Stable Diffusion Demofloret: lightweight, robust word vectorsUsing oneAPI with Intel® FPGAs WorkshopSomething missing or broken? PRs welcome! ★ Support this podcast ★

Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Lior Hakim – Website, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Hour OneSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight).Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Truss on GitHubCMU: AI Pilot Can Navigate Crowded AirspaceEmbarrassingly Parallel Training of Expert Language ModelsToucan: Learn español without even trying3D Vision with Transformers: A SurveySphere: Natural Language Processing with TransformersSkyJack on GitHubNVIDIA AI DemosSomething missing or broken? PRs welcome! ★ Support this podcast ★

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AlphaFoldAlphaFold reveals the structure of the protein universeAlphaFold: Timeline of a breakthroughAlphaFold Protein Structure DatabaseGitHub: deepmind / alphafoldOxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracleNature: How AlphaFold can realize AI’s full potential in structural biologyNature: ‘The entire protein universe’: AI predicts shape of nearly every known proteinNature: Highly accurate protein structure prediction with AlphaFoldSomething missing or broken? PRs welcome! ★ Support this podcast ★

Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Solana Larsen – LinkedIn, XBridget Todd – XDaniel Whitenack – Website, GitHub, XShow Notes:The Internet Health Report 2022Facts of the AI Power ImbalanceSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Source articles for our conversationThe Geopolitics Of Artificial IntelligenceGeopolitical implications of AI and digital surveillance adoptionArtificial intelligence is already upending geopoliticsHuge “foundation models” are turbo-charging AI progressLearning ResourceNational Artificial Intelligence InitiativeSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to?Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:DALL·E: Creating Images from TextHow DALL-E 2 Actually WorksGoogle - Raccoons in Space!On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜Something missing or broken? PRs welcome! ★ Support this podcast ★

Coqui is a speech technology startup that making huge waves in terms of their contributions to open source speech technology, open access models and data, and compelling voice cloning functionality. Josh Meyer from Coqui joins us in this episode to discuss cloning voices that have emotion, fostering open source, and how creators are using AI tech.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Josh Meyer – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:CoquiBibleTTS - Data and models for African langaugesCoqui TTS Hugging Face SpaceCoqui on GithubJoshua’s previous Practical AI episode about Common VoiceSomething missing or broken? PRs welcome! ★ Support this podcast ★

Drausin Wulsin, Director of ML at Immunai, joins Daniel & Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases.The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology.To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Drausin Wulsin – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ImmunaiImmunai Fact SheetDrausin Wulsin | LinkedInDrausin Wulsin | Google ScholarSomething missing or broken? PRs welcome! ★ Support this podcast ★

While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Montana Low – GitHub, LinkedIn, XLev Kokotov – GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PostgresML websitePostgresML on GitHubSomething missing or broken? PRs welcome! ★ Support this podcast ★

Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Theresa Kushner – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Digital Humans videos:Kia ShowroomLearning AssistantTelco RetailKia, in carJapan ConciergeVirtual Learning Buddy teaching kids to read:Related blog postMore information about NTT DATA’s work with MIT Media LabSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:DeepMind’s Gato:DeepMind articleTNW articleIceman’s voice in Top Gun:Variety articleSonantic - the company behind the synthetic voiceResponsible AI review processes: From a developer’s point of viewSomething missing or broken? PRs welcome! ★ Support this podcast ★

Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Merve Noyan – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The Hugging Face hubNew Hugging Face community featuresSomething missing or broken? PRs welcome! ★ Support this podcast ★

Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Sarah Moeller – Website, GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Sarah’s academic websiteAn article about Sarah’s journey into this workSomething missing or broken? PRs welcome! ★ Support this podcast ★

AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Sean McClain – LinkedIn, XJoshua Meier – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:View Absci’s AI Lead Scientist Joshua Meier’s presentation at NVIDIA GTC 2022Learn more about Absci’s machine learning breakthroughs presented at GTCLearn more about Absci AI Research (AAIR) LabView career opportunities at AbsciAbsci AI drug discovery technologyWatch the Truist AI Symposium Podcast to get help demystifying the use of AI in drug discoveryAbsci websiteSomething missing or broken? PRs welcome! ★ Support this podcast ★

We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Ship It! – A podcast about getting your best ideas into the world and seeing what happens. Listen to an episode that interests you and subscribe today. Featuring:Luis Ceze – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:OctoMLSomething missing or broken? PRs welcome! ★ Support this podcast ★

In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Leo Mutuku – Website, GitHub, LinkedIn, XGodliver Owomugisha – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XJoyce Nabende – XShow Notes:Godliver’s Google Scholar pageGodliver’s academic homepageLocal Development Research Institute (LDRI)CropSpecOpen for Good AllianceSomething missing or broken? PRs welcome! ★ Support this podcast ★

Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Abubakar Abid – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Gradio | We are joining Hugging Face!Gradio | GithubSomething missing or broken? PRs welcome! ★ Support this podcast ★

This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode!Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:BigScience Language Model TrainingModel DetailsLive model logs and training curvesH100 from NVIDIA[White paper](https://www.nvidia.com/en-us/data-center/h100/ https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf)Omniverse platformEarth-2 SupercomputerStanford’s AI Index 2022Something missing or broken? PRs welcome! ★ Support this podcast ★

The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportunities and Risks of Foundation Models. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Report: “On the Opportunities and Risks of Foundation Models”Follow up Blog post: “Reflections on Foundation Models”Something missing or broken? PRs welcome! ★ Support this podcast ★

What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Learning ResourcesGo.Dev - a great programming language for data fabric developmentBooks“Python Data Science Handbook” by Jake VanderPlasSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Lukas Egger – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:SAP BPIPioneers, Settlers, Town PlannersMore with LeSSThe Fifth Discipline: The Art & Practice of The Learning OrganizationKaizen | WikipediaStratecherySomething missing or broken? PRs welcome! ★ Support this podcast ★

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Alon Klein Orback – XMoses Guttmann – Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:GreeneyeGreeneye BlogClearMLSomething missing or broken? PRs welcome! ★ Support this podcast ★

From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The first high-performance self-supervised algorithm that works for speech, vision, and textDeepMind says its new AI coding engine is as good as an average human programmerArtificial intelligence system rapidly predicts how two proteins will attachSeeing TheoryBooks“The Art of Doing Science and Engineering” by Richard W. Hamming“Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin RechtSomething missing or broken? PRs welcome! ★ Support this podcast ★

In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Kathleen Siminyu – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XJoyce Nabende – XShow Notes:“Introducing myself” from KathleenMasakhaneCommon VoiceOpen for Good AllianceSomething missing or broken? PRs welcome! ★ Support this podcast ★

In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Thomas Simonini – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XNatalie Pistunovich – GitHub, XShow Notes:Thomas Simonini | Hugging FaceDeep Reinforcement Learning courseSomething missing or broken? PRs welcome! ★ Support this podcast ★

From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Bonaventure Dossou – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XNatalie Pistunovich – GitHub, XShow Notes:Bonaventure Dossou | Instagram2020 — ongoing: My Year of Fame and how I joined the world of ResearchSomething missing or broken? PRs welcome! ★ Support this podcast ★

You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:David Kanter – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Press Release about MLCommons datasets: MLCommons™ Association Unveils Open Datasets and Tools to Drive Democratization of Machine LearningNeurIPS Papers: People’s Speech DatasetMultilingual Spoken Words Corpus (MSWC)Gradient article: New Datasets to Democratize Speech Recognition TechnologyBlog posts for more insight: People’s SpeechMultilingual Spoken Words Corpus (MSWC)Downloads: People’s SpeechMultilingual Spoken Words CorpusSomething missing or broken? PRs welcome! ★ Support this podcast ★

We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Compute@Edge free for 3 months — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. Head to fastly.com/podcast to take advantage of this limited time promotion! LaunchDarkly – Fundamentally change how you deliver software. Innovate faster, deploy fearlessly, and make each release a masterpiece. Featuring:Yaron Singer – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Robust IntelligenceRobust Intelligence BlogSomething missing or broken? PRs welcome! ★ Support this podcast ★

In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. Fastly – Compute@Edge free for 3 months — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. Head to fastly.com/podcast to take advantage of this limited time promotion! LaunchDarkly – Fundamentally change how you deliver software. Innovate faster, deploy fearlessly, and make each release a masterpiece. Featuring:Hamed Alemohammad – XAbba Barde – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XJoyce Nabende – XShow Notes:Radiant EarthML for Earth Observation online course“Spot the crop” challengeOpen for Good AllianceSomething missing or broken? PRs welcome! ★ Support this podcast ★

The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:OpenAI’s API Now Available with No WaitlistHugging Face SnowballFight betaHugging Face Data Measurements ToolPandas TutorClearMLSomething missing or broken? PRs welcome! ★ Support this podcast ★

This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. Featuring:Daniel Beutel – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Our FC episode on federated learningFlowerFlower BlogFlower Conference (with videos)Something missing or broken? PRs welcome! ★ Support this podcast ★

Here’s a bonus episode this week from our friends behind Me, Myself, and AI — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast.We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Paula Goldman – Website, LinkedIn, XSam Ransbotham – XShervin Khodabandeh – Website, LinkedInShow Notes:Subscribe to Me, Myself, and AI on Apple Podcasts, Spotify, or Google Podcasts.Something missing or broken? PRs welcome! ★ Support this podcast ★

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. iMerit ML DataOps Summit – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at imerit.net/dataopsFastly – Compute@Edge free for 3 months — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. Head to fastly.com/podcast to take advantage of this limited time promotion! Featuring:Natalie Pistunovich – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:GitHub CopilotOpenAI Codex BetaPrevious GopherCon Workshop: Infrastructure for a Fraud Detection ML ApplicationSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. iMerit ML DataOps Summit – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at imerit.net/dataopsFastly – Compute@Edge free for 3 months — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. Head to fastly.com/podcast to take advantage of this limited time promotion! Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:InfoQ: BigScience Research Workshop Releases AI Language Model T0Hugging Face: bigscience / T0ppMultitask Prompted Training Enables Zero-Shot Task GeneralizationIEEE Specturm: How Deep Learning Works5 Deep Learning Activation Functions You Need to KnowSomething missing or broken? PRs welcome! ★ Support this podcast ★

Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:iMerit ML DataOps Summit – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at imerit.net/dataopsThe Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The AI Index Report: Measuring Trends in Artificial IntelligenceIEEE Spectrum: 15 Graphs You Need to See to Understand AI in 2021Delphi: Towards Machine Ethics and NormsIEEE Spectrum: Machines Learn Good From Commonsense Norm BankSomething missing or broken? PRs welcome! ★ Support this podcast ★

There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly / TrajectoryConf – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. Register for free at trajectoryconf.comLinode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring:Nicholas Harris – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:LightmatterSomething missing or broken? PRs welcome! ★ Support this podcast ★

When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly / TrajectoryConf – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. Register for free at trajectoryconf.comLinode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring:Nicholas Mohnacky – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:bundleIQbundleIQ | LinkedInSomething missing or broken? PRs welcome! ★ Support this podcast ★

This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly – Ship fast. Rest easy. Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Linode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring:Joyce Nabende – XMutembesa – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Makerere AI LabMakerere AI Lab - projectsOpen for Good AllianceInternational Development Research Centre - CanadaFAIR Forward – Artificial Intelligence for All - GIZSomething missing or broken? PRs welcome! ★ Support this podcast ★

Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly – Ship fast. Rest easy. Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Learning:Google Federated Learning comicFederated Learning: A Step by Step Implementation in TensorflowFrameworks/ open source projects:TensorFlow FederatedIntel Open Federated LearningPyGridFlowerExample uses of Federated Learning:Federated Learning for Mobile Keyboard PredictionYour voice & audio data stays private while Google Assistant improvesFacebook is rebuilding its ads to know a lot less about youFederated learning for predicting clinical outcomes in patients with COVID-19Something missing or broken? PRs welcome! ★ Support this podcast ★

Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before!Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly – Ship fast. Rest easy. Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Featuring:Tivadar Danka – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Mathematics of Machine Learning - Roadmap Graphic | TwitterBooks“Mathematics of Machine Learning” by Tivadar DankaSomething missing or broken? PRs welcome! ★ Support this podcast ★

Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see here for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code AI for $25 in developer credit. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly – Ship fast. Rest easy. Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Polarity MappingBarry Johnson’s paper “Reflections A Perspective on Paradox and Its Application to Modern Management”Something missing or broken? PRs welcome! ★ Support this podcast ★

As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code AI for $25 in developer credit. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Ville Tuulos – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MetaflowBooks“Effective Data Science Infrastructure” by Ville TuulosUse code podpracticalAI19 for 40% off!Something missing or broken? PRs welcome! ★ Support this podcast ★

Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code SHIPIT for $25 in developer credit. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Michael Malyuk – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Label StudioHeartexSomething missing or broken? PRs welcome! ★ Support this podcast ★

Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code SHIPIT for $25 in developer credit. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Yonatan Geifman – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:DeciAn Introduction to the Inference Stack and Inference Acceleration TechniquesDeci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUsDeciNets: A New Efficient Frontier for Computer Vision ModelsWhite paperSomething missing or broken? PRs welcome! ★ Support this podcast ★

In this episode, Peter Wang from Anaconda joins us again to go over their latest “State of Data Science” survey. The updated results include some insights related to data science work during COVID along with other topics including AutoML and model bias. Peter also tells us a bit about the exciting new partnership between Anaconda and Pyston (a fork of the standard CPython interpreter which has been extensively enhanced to improve the execution performance of most Python programs).Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code SHIPIT for $25 in developer credit. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFeaturing:Peter Wang – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Anaconda’s State of Data SciencePyston Team Joins Anaconda to Expand Open-Source Project DevelopmentSomething missing or broken? PRs welcome! ★ Support this podcast ★

We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code AI for $25 in developer credit. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:A New AI LexiconA New AI Lexicon: An Electric BrainA New AI Lexicon: Function CreepA New AI Lexicon: SmartA New AI Lexicon: Artificial Identity CataractsA New AI Lexicon: ImbricationBooksFree 500+ PDF “Applications of Deep Neural Networks with Keras” book from Jeff Heaton, who is teaching this course at Washington University in St. LouisSomething missing or broken? PRs welcome! ★ Support this podcast ★

In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code AI for $25 in developer credit. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Jay Patel – LinkedInSathy Rajasekharan – LinkedInDaniel Whitenack – Website, GitHub, XShow Notes:Jacaranda Health videoJacaranda Health articleJacaranda Health websiteHow AI helps mothers in Kenya get the care they need, faster (article)Something missing or broken? PRs welcome! ★ Support this podcast ★

SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. LaunchDarkly – Ship fast. Rest easy. Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Featuring:Meg Risdal – Website, LinkedIn, XNick Wan – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Be sure to tune in to the SLICED semifinals August 10th and the SLICED championships August 17th!SLICED links:Twitch streamYouTubeSLICED Notion siteTowards Data Science interview about SLICEDSomething missing or broken? PRs welcome! ★ Support this podcast ★

AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at pssclabs.com/practicalaiThe Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Yotam Mann – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Never Before Heard SoundsYotam’s personal websiteHolly+Real Time Hardware for Audio Processinggan.styleOnsets and Frames (Piano Transcription)DDSP: Differentiable Digital Signal ProcessingSomething missing or broken? PRs welcome! ★ Support this podcast ★

Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at pssclabs.com/practicalaiThe Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:“Building a data team at a mid-stage startup: a short story” by Erik BernhardssonBooks“Cracking The Data Code” by Mike Bugembe“Data Driven” by DJ Patil and Hilary MasonSomething missing or broken? PRs welcome! ★ Support this podcast ★

9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at pssclabs.com/practicalaiSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Roey Mechrez – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NVIDIA GTC21 Talk on “Addressing Garbage In Garbage Out”BeyondMindsSomething missing or broken? PRs welcome! ★ Support this podcast ★

How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at pssclabs.com/practicalaiSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comFastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ACM article: “Deep Learning for AI”GitHub CopilotBooks“Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch (use podpracticalAI19 for 40% off)“A Thousand Brains” by Jeff HawkinsSomething missing or broken? PRs welcome! ★ Support this podcast ★

Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at pssclabs.com/practicalaiSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comFastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Edo Liberty – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Pinecone | WebsitePinecone | TwitterPinecone | LinkedInTheNextPlatform - It’s Time to Start Paying Attention to Vector DatabasesTheNewStack - Pinecone: A Vector Database for Machine Learning ApplicationsSomething missing or broken? PRs welcome! ★ Support this podcast ★

William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:William Falcon – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:PyTorch Lightning | WebsitePyTorch Lightning | TwitterPyTorch Lightning | LinkedInPyTorch Lightning | GitHubGrid.ai | WebsiteGrid.ai | TwitterGrid.ai | LinkedInGrid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and ProductionGrid AI raises $18.6M Series A to help AI researchers and engineers bring their models to productionGrid.ai Launches Platform to Train Machine Learning Models in the CloudSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comThe Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:High-performance speech recognition with no supervision at alldeeplearning.ai MLOps courseGitHub MLOps resourcesBooks“Cracking The Data Code” by Mike Bugembe“Meta Learning” by Radek OsmulskiSomething missing or broken? PRs welcome! ★ Support this podcast ★

Tuhin Srivastava tells Daniel and Chris why BaseTen is the application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comFastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Tuhin Srivastava – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:BaseTenBaseTen | LinkedInBaseTen | TwitterBaseTen | BlogSomething missing or broken? PRs welcome! ★ Support this podcast ★

Today we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:José Valim – Website, GitHub, XJerod Santo – GitHub, LinkedIn, Mastodon, XDaniel Whitenack – Website, GitHub, XShow Notes:Nx (Numerical Elixir) is now publicly availableAxonLivebookJaxLivebook demo on YouTubeErlang Ecosystem FoundationBooks“Genetic Algorithms in Elixir” by Sean MoriaritySomething missing or broken? PRs welcome! ★ Support this podcast ★

90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Luis Ceze – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Apache TVMOctoMLOctoML: Automated Deep Learning Engineering with Jason Knight and Luis CezeSomething missing or broken? PRs welcome! ★ Support this podcast ★

To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join us for a discussion about human computer interaction, multimodal AI tasks, the history of language modeling, and AI for social good.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogSnowplow Analytics – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at snowplowanalytics.comChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Featuring:Jeff Adams – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Cobalt Speech and LanguageBuilding Blocks of Speech TechnologyArticle: “BYU students, creator of Alexa develop software to preserve Cambodian stories”Previous episode with Catherine Breslin (previously with Cobalt)Something missing or broken? PRs welcome! ★ Support this podcast ★

Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Evan Welbourne – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Video about hunchesAmazon’s Alexa can now act on its own hunches to turn off lights and moreWhat Are Alexa Hunches?Something missing or broken? PRs welcome! ★ Support this podcast ★

Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Ro Gupta – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:CARMERAThe Mapping Hierarchy of NeedsMapping Change When It Matters MostCARMERA and Toyota Demonstrate Further Progress on Urban and Highway Mapping in Japan and the USThe Mapping Singularity Is NearSomething missing or broken? PRs welcome! ★ Support this podcast ★

Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Nhung Ho – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Intuit WebsiteIntuit Blog | Nhung Ho, Director of Data ScienceIntuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic CrisisSomething missing or broken? PRs welcome! ★ Support this podcast ★

Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Dave Lacey – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:GraphcorePoplar Graph Framework SoftwareSomething missing or broken? PRs welcome! ★ Support this podcast ★

Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Nikola Mrkšić – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:-PolyAI -The Science Behind PolyAI -How Customer Service Voice Assistants Handle Different Languages and Accents -PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language Understanding Models -PolyAI’s ConveRT Model Outperforms BERT and GPT-Based Models in Salesforce Research Evaluation -Few-Shot Slot Labeling with ConVEx: The Most Accurate Value Extractor on The MarketSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Margot Gerritsen – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Women in Data Science (WiDS) Worldwide InitiativeWiDS PodcastWiDS 2020 Opening VideoBooks“Mindset” by Carol S. DweckSomething missing or broken? PRs welcome! ★ Support this podcast ★

David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:David Sweet – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Books“Experimentation for Engineers” by David SweetTuning Up | GitHubManning 40% discount code: podpracticalAI19Something missing or broken? PRs welcome! ★ Support this podcast ★

Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases!Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogCode-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 98 and episode 99 for insights on the ethical and technical sides of deep fakes. Subscribe on Apple Podcasts and Spotify. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Abe Heifets – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AtomwiseAtomwise Receives a $2.3M Grant to Develop New Therapies for Drug Resistant Malaria and TuberculosisAtomwise Partners with Global Research Teams to Pursue Broad-Spectrum Treatments Against COVID-19 and Future Coronavirus OutbreaksWorld robotic soccerPhiladelphia chromosomeAlphafoldCanavan disease example: Paper: “Discovery of Novel Inhibitors of a Critical Brain Enzyme Using a Homology Model and a Deep Convolutional Neural Network”AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery[“Memorizing yesterday’s stock price” example](Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization)Something missing or broken? PRs welcome! ★ Support this podcast ★

Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Code-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 98 and episode 99 for insights on the ethical and technical sides of deep fakes. Subscribe on Apple Podcasts and Spotify. Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! Featuring:Roy Schwartz – Website, XJesse Dodge – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Green AI article in the communications of the ACMTraining a single AI model can emit as much carbon as five cars in their lifetimesFine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early StoppingParameter-Efficient Transfer Learning for NLPReproducibility at EMNLP 2020Something missing or broken? PRs welcome! ★ Support this podcast ★

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!Join the discussionChangelog++ members get a bonus 3 minutes at the end of this episode and zero ads. Join today!Sponsors:Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Follow up content from Rajiv Shah: Running code and failing modelsRajiv’s previous episodeLambda Lab’s GPU benchmarksMachine Learning in Microsoft ExcelDeep Learning at the Speed of LightMLCommons and MLCube: Previous episode about MLCommonsMLCube projectLearning Resources: Yann LeCun’s Deep Learning Course Is Now Free & Fully OnlineTensorFlow EverywhereSomething missing or broken? PRs welcome! ★ Support this podcast ★

Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for the transformative future of AI in medicine clearly soothes Chris’s concern about managing his aging body in the years to come. ;-)Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Code-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 98 and episode 99 for insights on the ethical and technical sides of deep fakes. Subscribe on Apple Podcasts and Spotify. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! Featuring:Elad Walach – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Aidoc | WebsiteAidoc Medical | LinkedInAidoc | TwitterSomething missing or broken? PRs welcome! ★ Support this podcast ★

John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Code-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 101 for a deep dive with Cornelia Davis (CTO of Weaveworks) on cloud native, cloud native patterns, and what is really means to be a cloud native application. Subscribe on Apple Podcasts and Spotify. Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:John Myers – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Gretel | WebsiteGretel | LinkedInGretel | TwitterGretel | SlackGretel Synthetics | GitHubGretel Blueprints | GitHubGretel | Improving massively imbalanced datasets in machine learning with synthetic dataGretel | Deep dive on generating synthetic data for HealthcareSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring:Terri Jordan – LinkedIn, XYanis Caritu – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AryballeAryballe | TwitterAryballe Hardware SolutionsAryballe Software & Data PlatformHow Machine Learning in Digital Olfaction WorksReadying Odor Data For Reproduction Using Machine LearningAryballe raises $7.9 million for odor-detecting AI sensorsSomething missing or broken? PRs welcome! ★ Support this podcast ★

MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Code-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 98 and episode 99 for insights on the ethical and technical sides of deep fakes. Subscribe on Apple Podcasts and Spotify. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! Featuring:David Kanter – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Learn more about People’s SpeechGet involved with the People’s Speech projectMLCube GitHub, including several different examplesMLCube Mailing listMLPerf Training BenchmarksMLPerf Training HPC BenchmarksMLPerf Inference Datacenter BenchmarksMLPerf Inference Edge BenchmarksMLPerf Inference Mobile BenchmarksMLCommons on TwitterSomething missing or broken? PRs welcome! ★ Support this podcast ★

American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Code-ish by Heroku – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out episode 98 and episode 99 for insights on the ethical and technical sides of deep fakes. Subscribe on Apple Podcasts and Spotify. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. LaunchDarkly – Test in production! Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. Featuring:Madhurima Khandelwal – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AMEX AI Labs researchO’Reilly article about “doing good data science”Something missing or broken? PRs welcome! ★ Support this podcast ★

Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – Get apps to market faster. Build, deploy, and scale apps quickly using a simple, fully managed solution. DigitalOcean handles the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Try it free with $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. Featuring:Braden Hancock – Website, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:Snorkel AISnorkel OSSSnorkel BlogSnorkel AI | TwitterSnorkel AI | LinkedInSnorkel Best of VLDB paperSnorkel Drybell collaboration with GoogleJerod recommendsGetting Waymo into autonomous driving (Drago Anguelov)Building the world’s most popular data science platform (Peter Wang)Achieving provably beneficial, human-compatible AI (Stuart Russell)Something missing or broken? PRs welcome! ★ Support this podcast ★

At this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Danya Murali – GitHub, LinkedIn, XEmily Martinez – XDaniel Whitenack – Website, GitHub, XShow Notes:The Government & Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at rstats.ai, twitter.com/rstatsnyc and twitter.com/rstatsdc.Something missing or broken? PRs welcome! ★ Support this podcast ★

Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. Featuring:Bharat Sandu – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:What’s that? Microsoft’s latest breakthrough, now in Azure AI, describes images as well as people doFrom search to translation, AI research is improving Microsoft productsAzure AI: Build mission-critical AI apps with new Cognitive Services capabilitiesSomething missing or broken? PRs welcome! ★ Support this podcast ★

Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. Featuring:Luke Chesser – Website, XTimothy Carbone – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:UnsplashThe world’s largest open library dataset from UnsplashThe Unsplash dataset on GitHubSomething missing or broken? PRs welcome! ★ Support this podcast ★

Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelogChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. Featuring:Lucy D'Agostino McGowan – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Casual Inference PodcastCasual Inference Podcast | TwitterCommunicating Complex Statistics (video)Communicating Complex Statistics (slides)Practical AI is a “Media Sponsor” of the R Conference | Government & Public Sector, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.This will be the first ever R Conference focused on data science work in government, defense, and the public sector.Practical AI listeners get a special discount code valid for 20% off all ticket types, General & Academic Admission and workshops:PRACTICALAI20Something missing or broken? PRs welcome! ★ Support this podcast ★

What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelogChangelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Daniel’s workstation components:CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920XCPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3Motherboard - GIGABYTE X399 AORUS PROMemory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GBStorage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TBGPU 1 - RTX 2080 TiGPU 2 - Titan RTXCase - Lian Li PC-O11AIRPower Supply - Rosewill HerculesCase fan(s) - Coolmaster 8mmDaniel’s NUC 9 Extreme machineReferences:How to build the perfect Deep Learning Computer and save thousands of dollarsCurtis Northcut’s blog postsSomething missing or broken? PRs welcome! ★ Support this podcast ★

Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Lukas Biewald – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Weights & BiasesBlueriver case study from W&BW&B gallerySomething missing or broken? PRs welcome! ★ Support this podcast ★

Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Hamish Ogilvy – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:SajariBlog post: “Reinforcement Learning Assisted Search Ranking”Blog post: “Query Understanding 101”Blog post: “The Inevitable Collision of Search and AI Tech”Special offer from Sajari for Changelog listenersSomething missing or broken? PRs welcome! ★ Support this podcast ★

Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Rajiv Shah – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Rajiv Shah | University of Illinois at ChicagoRajiv Shah | DataRobot BlogDataRobotSomething missing or broken? PRs welcome! ★ Support this podcast ★

Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Suju Rajan – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:The AI behind LinkedIn’s recruiter searchTensorFlow Extended (TFX)Paper: “Hidden Technical Debt in Machine Learning Systems”Something missing or broken? PRs welcome! ★ Support this podcast ★

We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Daniel Chen – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:R Conference:WebsiteTwitter: @rstatsdcTicketsDiscount code PRACTICALAI20 is good for 20% off every ticket type, including the conference & all workshopsLinks relevant to the show:William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology ProjectsGreg Wilson, et al. 2014: “Best Practices for Scientific Computing”Greg Wilson, et al. 2017: “Good enough practices in scientific computing”Jenny Bryan’s code smells: link 1 and link2Jenny Bryan on naming thingsJD Long’s talk at rstudio::conf this year about being empatheticpython’s version of pyprojroot“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The RulesBooks“Pandas for Everyone” by Daniel Chen“Advanced R” by Hadley WickhamSomething missing or broken? PRs welcome! ★ Support this podcast ★

In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Will Ramey – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NVIDIA GPU Technology Conference, October 5-9, 202020% off for our listeners! Use code CMINFDW20 by 9/25 for additional 20% offNVIDIA Deep Learning InstituteNVIDIA to Acquire Arm for $40 BillionNVIDIA Ampere ArchitectureGeForce RTX 30 Series Graphics CardsPractical AI Episode #15: Artificial intelligence at NVIDIA with Chief Scientist Bill DallyPractical AI Episode #36: Growing up to become a world-class AI expert with Anima Anandkumar of NVIDIA and CalTechPractical AI Episode #90: Fully-Connected with Chris and Daniel - Exploring NVIDIA’s Ampere & the A100 GPUSomething missing or broken? PRs welcome! ★ Support this podcast ★

So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Pace.dev – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by Go Time panelist Mat Ryer. Try it out today!Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Andrew Burt – Website, XPatrick Hall – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AI Incident Response Checklist and other BNH.ai resources“New Law Firm Tackles AI Liability” (article about BNH.ai)In the realm of paper tigers – exploring the failings of AI ethics guidelinesDebugging Machine Learning Models workshopWhy you should care about debugging machine learning modelsStrategies for model debuggingFTC: Using Artificial Intelligence and AlgorithmsSR 11-7: Guidance on Model Risk ManagementApple Goldman caseCalifornia Consumer Privacy Act (CCPA)Previous episode: Data management, regulation, the future of AISomething missing or broken? PRs welcome! ★ Support this podcast ★

Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Pace.dev – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by Go Time panelist Mat Ryer. Try it out today!Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Jenny Zhang – Website, XRemy Muhire – GitHub, XJosh Meyer – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Mozilla Common VoiceAnnouncement of Josh and Remy’s fellowship work on speech tech for African languagesArtie Bias CorpusReadings on Demographic Bias in ASR: Voice recognition still has significant race and gender biasesGender and Dialect Bias in YouTube’s Automatic CaptionsRacial disparities in automated speech recognitionCommon Voice LREC PaperCommon Voice + DeepSpeech collaborators for Low-resource languages: Digital UmugandaAI Lab, Makerere UniversityLanguage Technologies Unit, Bangor UniversityLinguistics Department, Indiana University Bloomington“under-sampled majority” is a quote from Joy Boulamwini (see this article)Something missing or broken? PRs welcome! ★ Support this podcast ★

Waymo’s mission is to make it safe and easy for people and things to get where they’re going. After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Drago Anguelov – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Dragomir Anguelov - Google ScholarDrago Anguelov – Machine Learning for Autonomous Driving at ScaleWaymoWaymo - TwitterWaymo - LinkedInSomething missing or broken? PRs welcome! ★ Support this podcast ★

Hilary Mason is building a new way for kids and families to create stories with AI. It’s called Hidden Door, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom!Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Hilary Mason – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Hidden DoorSomething missing or broken? PRs welcome! ★ Support this podcast ★

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Peter Wang – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AnacondaPyDataNumFOCUSJupyterNumbaJAXMasakhaneSomething missing or broken? PRs welcome! ★ Support this podcast ★

We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from The Changelog helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!)Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, XJerod Santo – GitHub, LinkedIn, Mastodon, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Enter to win some awesome AI hardware bundles!Sasha Rush on trends from ICLREpisodes mentioned on the show:MLOps and tracking experiments with Allegro AIExplaining AI explainability (Darwin AI)Practical AI EthicsModel inspection and interpretation at SeldonAttack of the C̶l̶o̶n̶e̶s̶ Text!🤗 All things transformers with Hugging FaceAchieving provably beneficial, human-compatible AIAI for Good: clean water access in AfricaExploring the COVID-19 Open Research DatasetArtificial intelligence at NVIDIAGrowing up to become a world-class AI expertHelping African farmers with TensorFlowBooks“Interpretable Machine Learning” by Christoph MolnarSomething missing or broken? PRs welcome! ★ Support this podcast ★

Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Jack Morris – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:TextAttackAttacking Machine Learning with Adversarial ExamplesSomething missing or broken? PRs welcome! ★ Support this podcast ★

Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Sasha Rush – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Giveaway details!! Check this blog post for all the details to win a free copy of Dracula PRO && 14 Habits of Highly Productive DevelopersHugging FaceTransformers libraryTokenizers libraryNLP (data and evaluation metrics) libraryPrevious Practical AI episode with Hugging FaceTechCrunch announcement about Hugging Face’s recent fundraisingThe annotated transformer2000+ models in Hugging Face’s model hubAttention is all you need paperMini Conf toolsSomething missing or broken? PRs welcome! ★ Support this podcast ★

DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called Trains. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Nir Bar-Lev – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Allegro AIThe “Trains” PlatformTrains demo serverTrains video tutorials on YouTubeSomething missing or broken? PRs welcome! ★ Support this podcast ★

The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Practical AI episode 85: Achieving provably beneficial, human-compatible AIGoogle - Responsible AI PracticesMicrosoft - Responsible AIU.S. Department of Defense - Ethical Principles for Artificial IntelligenceOECD Principles on AICambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on TensionsNature - Principles alone cannot guarantee ethical AIBooks“Artificial Intelligence” by Stuart Russell and Peter Norvig“Human Compatible” by Stuart RussellSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris get you Fully-Connected with open source software for artificial intelligence. In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:General discussion of AI and open source code/data/modelHow to experiment with open source tools/dataWhat are easy ways to start contributingWhat are ways to contribute to open source AI other than contributing to key projects?Sources:GitHubPapers With CodeSemantic ScholarGoogle Dataset SearchData.govLearning resources:Guide to making your first open source contributionSomething missing or broken? PRs welcome! ★ Support this podcast ★

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Nikita Shamgunov – Website, XDaniel Whitenack – Website, GitHub, XShow Notes:MemSQLMemSQL’s ML/AI capabilitiesMemSQL’s recent AI/ML e-bookContact tracing case study with MemSQL and True DigitalSomething missing or broken? PRs welcome! ★ Support this podcast ★

This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Streamlit:Streamlit funding announcementPrevious Practical AI episode about StreamlitGPU acceleration in Windows Subsystem for LinuxFairness and bias:Google’s explanation of bias in their ML crash courseIBM fairness 360Google’s responsible AI practicesDriven Data’s Deon projectPrevious Practical AI episode about bias in AI and hiringUS Department of Defense Ethical principles for AIChris’s personal, COVID-related blog postSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (video)Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (slides)Yoshua Bengio | WikipediaA DARPA Perspective on Artificial IntelligenceDARPA | WikipediaU.S. Department of Defense Directive 3000.09: Autonomy in Weapon SystemsBooks“Thinking, Fast and Slow” by Daniel KahnemanSomething missing or broken? PRs welcome! ★ Support this podcast ★

The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Sheldon Fernandez – LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Darwin AIFermiNets - a paper that introduces the idea of generative synthesis.COVID-Net - Darwin AI’s COVID-related computer vision model.NLP highlights podcast episode on Behavioral Testing - behavioral testsSheldon’s explainability primer on mediumSomething missing or broken? PRs welcome! ★ Support this podcast ★

On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:NVIDIA Ampere Architecture In-DepthNVIDIA DGX A100NVIDIA EGX A100NVIDIA Jetson Xavier NXPractical AI – Episode #56 – Worlds are colliding - AI and HPCPractical AI – Episode #15 – Artificial intelligence at NVIDIALearning ResourcesNVIDIA Deep Learning InstituteDocker and Kubernetes: The Complete GuideSomething missing or broken? PRs welcome! ★ Support this podcast ★

Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger AI for Good initiative.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to datadan.io. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chandler McCann – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Worldwide Water Access: Tapping into a Well of DataAI for Good with DataRobot: Saving the World One Use Case at a TimeAI for Good: Powered by DataRobotDataRobotSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:What do you think is the next big thing?What are CNNs?How does one start developing an AI-enabled business solution?What tools do you use every day?What will AI replace?And more…Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to datadan.io. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Books“Data Science from Scratch” by Joel GrusSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to datadan.io. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Anna Goldie – GitHub, LinkedIn, XAzalia Mirhoseini – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Their research paperGoogle BrainGoogle is using AI to design chips that will accelerate AI | MIT Technology ReviewPractical AI episode #47: GANs, RL, and transfer learning oh my!Something missing or broken? PRs welcome! ★ Support this podcast ★

In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to datadan.io. Featuring:Lucy Lu Wang – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Lucy Lu Wang - Google ScholarKaggle: COVID-19 Open Research Dataset Challenge (CORD-19)CORD-19 ExplorerSemantic Scholar | CORD-19Allen Institute for AISomething missing or broken? PRs welcome! ★ Support this podcast ★

AI legend Stuart Russell, the Berkeley professor who leads the Center for Human-Compatible AI, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of Human Compatible, and the upcoming 4th edition of his perennial classic Artificial Intelligence: A Modern Approach, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Pluralsight – Stay home. Skill up. For free. Pluralsight is totally free for the entire month of April! With over 7,000 courses from experts in software development, security, cloud and data there’s never been a better time to skill up. Learn more and get started at pluralsight.com/changelogFastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Stuart Russell – Website, LinkedInChris Benson – Website, GitHub, LinkedIn, XShow Notes:Stuart Russell on WikipediaStuart Russell’s TED Speaker profileCenter for Human-Compatible AIStuart Russell on how to make AI ‘human-compatible’AI could be a disaster for humanity. A top computer scientist thinks he has the solution.Leading AI Luminary Has An Idea To Ensure Humans Remain In ControlBooks“Artificial Intelligence” by Stuart Russell and Peter Norvig“Human Compatible” by Stuart RussellSomething missing or broken? PRs welcome! ★ Support this podcast ★

So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Timo Möeller – GitHub, LinkedInTony Reina – GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:COVID-QACORD-19Episode featuring SpaCySentence transformersEpisode on BERTGerman BERT from Deepset-AIHugging Face TransformersHaystack from Deepset-AIDeepmind molecular structure with RL projectSomething missing or broken? PRs welcome! ★ Support this podcast ★

Daniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS, spatial analysis, remote sensing, real-time visualization, and 3D analytics. You don’t want to miss the part about their work for the DoD’s Joint AI Center in humanitarian assistance / disaster relief.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Daniel Wilson – LinkedInRob Fletcher – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:ESRIESRI - GeoAI BlogESRI - YouTube: ArcGIS & Artificial Intelligence (DoD JAIC)Practical AI #72: How the U.S. military thinks about AI (DoD JAIC)Books“Pattern Recognition and Machine Learning” by Christopher M. BishopSomething missing or broken? PRs welcome! ★ Support this podcast ★

Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.From the practitioner wanting to keep up with the latest tools & trends…(clip from episode #68)To the AI curious trying to understand the concepts at play and their implications on our lives…(clip from episode #39)Expert hosts Chris Benson and Daniel Whitenack are here to keep you fully-connected with the world of machine learning and data science.Please listen to a recent episode that interests you and subscribe today. We’d love to have you as a listener!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Something missing or broken? PRs welcome! ★ Support this podcast ★

Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Catherine Breslin – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Catherine Breslin - Google Scholar Cobalt Speech and Language Business Insider: The 100 coolest people in UK tech - Catherine Breslin The Female Lead - Catherine Breslin Silicon Republic: 15 architects building the data-driven future Stylist: Meet the woman who teaches Amazon Alexa how to understand humans Something missing or broken? PRs welcome! ★ Support this podcast ★

Emily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate. Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Emily Robinson – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th! R Conference | New York City Books “Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis Be sure to use discount code: podpracticalAI19 “Cracking the Coding Interview” by Gayle Laakmann McDowell “Designing Your New Work Life” by Bill Burnett and Dave Evans “Designing Your Life” by Bill Burnett and Dave Evans Something missing or broken? PRs welcome! ★ Support this podcast ★

Matt Brems from General Assembly joins us to explain what “data science” actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to differentiate yourself career-wise. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Matt Brems – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: General Assembly Betavector Previous episode: Exposing the deception of DeepFakes Data Science Venn diagram Something missing or broken? PRs welcome! ★ Support this podcast ★

Craig Wiley, from Google Cloud, joins us to discuss various pieces of the TensorFlow ecosystem along with TensorFlow Enterprise. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. He also clarifies Google’s relationship to TensorFlow and explains how TensorFlow development is impacting Google Cloud Platform. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Craig Wiley – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Google’s “Rules of ML” Tensorflow TensorFlow Hub Unity TensorFlow enterprise Google’s ML crash course 10 week Kaggle course Something missing or broken? PRs welcome! ★ Support this podcast ★

Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages. Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Dan Jeffries – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: The world’s languages Ethnologue TTS for Singlish SIL International Pachyderm Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Featuring:Mike McCourt – GitHub, LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Mike McCourt | Invoca Employee Spotlight Invoca Signal AI Zipf’s law Meet the Data Scientists Behind Invoca’s Conversational Analytics Algorithms -Invoca raises $56 million to apply AI and analytics to voice calls -Invoca’s Signal Discovery uses machine learning to conduct conversational analysis on inbound calls -Invoca - What Will You Discover? Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris explore Semantic Scholar with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Douglas Raymond – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Semantic Scholar Allen Institute for Artificial Intelligence ELMo SciBERT: A Pretrained Language Model for Scientific Text Semantic Scholar API Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris do a deep dive into The AI Index 2019 Annual Report, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: The AI Index 2019 Annual Report Stanford Institute for Human-Centered Artificial Intelligence Something missing or broken? PRs welcome! ★ Support this podcast ★

Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Tania Allard – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: “What’s your ML score” talk “Jupyter Notebooks: Friends or Foes?” talk Joel Grus’s episode: “AI code that facilitates good science” Papermill nbdev nbval Books “DevOps For Dummies” by Emily Freeman Something missing or broken? PRs welcome! ★ Support this podcast ★

One of the things people most associate with AI is automation, but how is AI actually shaping automation in manufacturing? Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and in their “microfactories.” He also discusses the unique challenges of developing AI models based on manufacturing data. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019. Start your server - head to linode.com/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Costas Boulis – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Bright Machines Bright Machines’ Microfactories Digital twins Other relevant Practical AI episodes: Deep Reinforcement Learning Robot hands solving Rubik’s cubes Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is “to seize upon the transformative potential of artificial intelligence technology for the benefit of America’s national security… The JAIC is the official focal point of the DoD AI Strategy.” So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Greg Allen – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: U.S. Department of Defense Joint Artificial Intelligence Center Summary of the 2018 Department of Defense Artificial Intelligence Strategy Fact Sheet: 2018 DoD Artificial Intelligence Strategy White House AI Website Practical AI – Episode #47 - GANs, RL, and transfer learning oh my! AlphaGo Defense Advanced Research Projects Agency - DARPA Intelligence Advanced Research Projects Activity - IARPA Law of War Something missing or broken? PRs welcome! ★ Support this podcast ★

Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Google search and BERT Better Language Models and Their Implications Write with Transformer Hugging Face Transformers Hugging Face receives 15M in funding Solving Rubik’s Cube with a Robot Hand Training a single AI model can emit as much carbon as five cars in their lifetimes Other relevant Practical AI episodes: Robot hands and Rubik’s cubes BERT: one NLP model to rule them all OpenAI’s new “dangerous” GPT-2 language model Social AI with Hugging Face Something missing or broken? PRs welcome! ★ Support this podcast ★

We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Andrew Stanton – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Yahoo learning to rank challenge NEAT approach to neuroevolution OpenAI evolutionary strategies for Atari Rust PyO3, Rust binding for the Python interpreter Buzzsaw: A System for High Speed Feature Engineering LinkedIn at KDD Something missing or broken? PRs welcome! ★ Support this podcast ★

Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. Featuring:Evan Sparks – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Determined AI Previous episode on Alpha pilot Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health Blog post - Announcing the future of AI infrastructure Apache Spark MLlib Antique Candle Co. Joel Grus on AI code that facilitates good science Something missing or broken? PRs welcome! ★ Support this podcast ★

SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Ines Montani – GitHub, XMatthew Honnibal – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: SpaCy Advanced NLP with SpaCy course Thinc Explosion AI Prodigy Fast.ai Machine learning yearning Something missing or broken? PRs welcome! ★ Support this podcast ★

GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Jakub Langr – Website, GitHub, LinkedIn, XVladimir Bok – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Ian Goodfellow NeurIPS paper 2014 GAN TTS Books “GANs in Action” by Jakub Langr and Vladimir Bok Something missing or broken? PRs welcome! ★ Support this podcast ★

Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Adrien Treuille – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Eterna Game Streamlit Streamlit articles Awesome Streamlit R Shiny Something missing or broken? PRs welcome! ★ Support this podcast ★

There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:James Fletcher – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Grakn Labs GraphSAGE Prologue Graph Nets (TensorFlow) Grakn KGLIB Grakn example projects and tutorials Grakn Blog Something missing or broken? PRs welcome! ★ Support this podcast ★

Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: OpenAI’s result of solving a Rubik’s Cube with a robotic hand: Blog post Paper Example push back on Twitter Learning resources: OpenAI Gym Tutorial PyTorch RL Tutorial Tensorflow RL Tutorials Something missing or broken? PRs welcome! ★ Support this podcast ★

What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean Managed Kubernetes – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at do.co/changelog KubeCon + CloudNativeCon (Amsterdam 2020) – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! Learn more and register. AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. Featuring:Michael Malyuk – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Heartex Label Studio Books “Paradigms of Artificial Intelligence Programming” by Peter Norvig Something missing or broken? PRs welcome! ★ Support this podcast ★

Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. KubeCon + CloudNativeCon (San Diego) – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. Learn more and register — get 10% off with the code KCNAPRACTICALAI19 Feel free to use the Convince Your Boss letter in part or in full so you can your team can attend. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Anais Dotis-Georgiou – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: InfluxData InfluxDB M-Competition benchmarks Something missing or broken? PRs welcome! ★ Support this podcast ★

We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. Changelog Weekly – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to changelog.com/weekly to browse the archives, subscribe, and push the easy button on your continuing education. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Featuring:Victor Dibia – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: data2vis TJbot TensorFlow.js Handtrack.js ConvNet Playground JS Party Something missing or broken? PRs welcome! ★ Support this podcast ★

The United States has blacklisted several Chinese AI companies working in facial recognition and surveillance. Why? What are these companies doing exactly, and how does this fit into the international politics of AI? We dig into these questions and attempt to do some live fact finding in this episode. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: 1 million ethnic Uyghurs in China have been held in “re-education camps” Surge in Chinese research related to surveillance of Muslim minorities US AI Blacklist summary article from MIT Technology Review Hikvision Their website Here’s what you need to know about Hikvision, the camera maker behind China’s mass surveillance system China’s Hikvision Has Probably Filmed You iFlytek Their website Why 500 Million People in China Are Talking to This AI Megvii Their website Behind the Rise of China’s Facial-Recognition Giants Megvii, the Chinese startup unicorn known for facial recognition tech, files to go public in Hong Kong Yitu Their website AI Startup Yitu Seeks IPO on China’s New Tech Board This Chinese facial recognition start-up can identify a person in seconds Learning resources: TensorFlow 2.0 notebook Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is an open innovation challenge, developing artificial intelligence for high-speed racing drones, created through a partnership between Lockheed Martin and The Drone Racing League (DRL). AlphaPilot challenged university teams from around the world to design AI capable of flying a drone without any human intervention or navigational pre-programming. Autonomous drones will race head-to-head through complex, three-dimensional tracks in DRL’s new Artificial Intelligence Robotic Racing (AIRR) Circuit. The winning team could win up to $2 million in prizes. Keith shares the incredible story of how AlphaPilot got started, just prior to its debut race in Orlando, which will be broadcast on NBC Sports. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Keith Lynn – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: AlphaPilot AlphaPilot – Lockheed Martin AI Drone Racing Innovation Challenge Lockheed Martin and Drone Racing League Announce 2019 AlphaPilot Teams Look ma, no hands: UCF arena to host fast-flying, autonomous drone racing in October Lockheed Martin Lockheed Martin - Wikipedia The Drone Racing League The Drone Racing League - Wikipedia Lockheed Martin - Twitter The Drone Racing League - Twitter NVIDIA - Twitter Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent model distillation results. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. All Things Open – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AI in the majority world: NeurIPS publications by country “Best” universities according to the Times Higher Education ICLR in Ethiopia Google AI offices: Bangalore Ghana Beijing Deep Learning Indaba Southeast Asia Machine Learning School Facebook’s AI for India summit AI Singapore Indonesia AI research center Artificial intelligence probes dark matter in the universe DistilBERT from Hugging Face Three People-Centered Design Principles for Deep Learning Papers with code Something missing or broken? PRs welcome! ★ Support this podcast ★

The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side projects. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. All Things Open – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 Featuring:Samuel Taylor – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Tweet and mention @Changelog or @PracticalAIFM for a chance to win 1 of 5 free passes to the conference! “I want a free pass to @AllThingsOpen because…” All Things Open Samuel’s All Things Open talk description Episode #17 - Fighting bias in hiring Jupyter Pandas Scikit-learn Something missing or broken? PRs welcome! ★ Support this podcast ★

In this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss High Performance Computing (HPC) and how it is colliding with the world of AI. Chris explains how HPC differs from cloud/on-prem infrastructure, and he highlights some of the challenges of an HPC-based AI strategy. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: HPC course on Udacity Google Colab SIParCS internship at NCAR Something missing or broken? PRs welcome! ★ Support this podcast ★

We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods. Sherol explains how the various AI groups within Google work together and how AutoML fits into that puzzle. She also explains how to get started with AutoML step-by-step (this is “practical” AI after all). Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog. Changelog Weekly – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to changelog.com/weekly to browse the archives, subscribe, and push the easy button on your continuing education. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Featuring:Sherol Chen – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Google cloud Google AI Tensorflow Quoc V. Le’s research Cloud AutoML Something missing or broken? PRs welcome! ★ Support this podcast ★

David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, the work he’s doing to teach these things at Galvanize, what his HumAIn Podcast is all about, and more. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:David Yakobovitch – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Galvanize HumAIn Podcast Books “The Big Nine” by Amy Webb Something missing or broken? PRs welcome! ★ Support this podcast ★

Redis is a an open source, in-memory data structure store, widely used as a database, cache and message broker. It now also support tensor data types and deep learning models via the RedisAI module. Why did they build this module? Who is or should be using it? We discuss this and much more with Pieter Cailliau. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Pieter Cailliau – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Redis Redis modules RedisAI Hangar Hangar on GitHub Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:AI is impacting studies of the ancient world: Machine learning has been used to automatically translate long-lost languages: Machine learning is about to revolutionize the study of ancient games: Others studies: Deep Learning for Classical Japanese Literature: In Codice Ratio: Machine Transcription in the Vatican Secret Archive: Reading Medieval Manuscripts with Deep Learning Technology: The AI technique that could imbue machines with the ability to reason A new way to use the AI behind deepfakes could improve cancer diagnosis: AIs are playing more games: DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder An unbeatable poker bot offers glimpses of video game AI’s future Relevant learning resources: NumPy implementations of a bunch of models (from scratch): Great new-ish NLP courses: Advanced NLP with spacy: New fast.ai course! A Code-First Introduction to NLP: Google Cloud - Deep Learning Containers Books “The Pragmatic Programmer” by David Thomas and Andrew Hunt “Data Science from Scratch” by Joel Grus Something missing or broken? PRs welcome! ★ Support this podcast ★

We’re talking with Joel Grus, author of Data Science from Scratch, 2nd Edition, senior research engineer at the Allen Institute for AI (AI2), and maintainer of AllenNLP. We discussed Joel’s book, which has become a personal favorite of the hosts, and why he decided to approach data science and AI “from scratch.” Joel also gives us a glimpse into AI2, an introduction to AllenNLP, and some tips for writing good research code. This episode is packed full of reproducible AI goodness! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Joel Grus – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Allen AI AllenNLP AllenNLP demo website Writing Code for NLP Research​ I don’t like Notebooks Joel’s website Adversarial learning podcast Books “Data Science from Scratch” by Joel Grus Something missing or broken? PRs welcome! ★ Support this podcast ★

Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap. Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Learn more about neural networks with the following learning resources. Books “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville “Data Science from Scratch” by Joel Grus There are literally too many others to name… Online Courses fast.ai MOOC Deep Learning course by Google on Udacity (free) Practical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course) deeplearning.ai Deep Learning Specialization Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2) Intro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2) Websites Microsoft AI School TensorFlow 2 Docs Amazon Machine Learning Training PyTorch Facebook AI Google AI Something missing or broken? PRs welcome! ★ Support this podcast ★

This week we bend reality to expose the deceptions of deepfake videos. We talk about what they are, why they are so dangerous, and what you can do to detect and resist their insidious influence. In a political environment rife with distrust, disinformation, and conspiracy theories, deepfakes are being weaponized and proliferated as the latest form of state-sponsored information warfare. Join us for an episode scarier than your favorite horror movie, because this AI bogeyman is real! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: The Dark Knight’s Tale (DeepFake) Official PyTorch Implementation of StarGAN - CVPR 2018 Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (YouTube) Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (PDF) MelNet: A Generative Model for Audio in the Frequency Domain Text-based Editing of Talking-head Video Better Language Models and Their Implications (GPT-2) Fake-porn videos are being weaponized to harass and humiliate women: ‘Everybody is a potential target’ The National Security Challenges of Artificial Intelligence, Manipulated Media, and “Deepfakes” – 13 June 2019 Student with access to TPU credits reproduced GPT2-1.5B and plan to release model Papers With Code: fake+detection In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking A Retrospective Analysis of the Fake News Challenge Stance Detection Task Deepfake debunking tool may protect presidential candidates. For now. Sometimes The Era of Fake Videos is Here S.3805 - Malicious Deep Fake Prohibition Act of 2018 Practical AI episode #47 - GANs, RL, and transfer learning oh my! Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Machine Learning for fake news detection: theory and practice Something missing or broken? PRs welcome! ★ Support this podcast ★

Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called Alibi. Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Janis Klaise – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Seldon Seldon Core Alibi Books “The Foundation Series” by Isaac Asimov “Interpretable Machine Learning” by Christoph Molnar Something missing or broken? PRs welcome! ★ Support this podcast ★

Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:SUBSCRIBE ~> Brain Science — For the curious! We’re exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. RL (Reinforcement learning) Good overview article Human-level performance in Quake III–Capture the Flag Practical AI episode about Deep Reinforcement Learning Practical AI episode about OpenAI, reinforcement learning, robots, and safety PyTorch RL tutorial GANs (Generative Adversarial Networks) Good overview article This is not a person website Christie’s AI art auction OpenAI Generative models TensorFlow GAN tutorial Transfer learning Good overview article Forbes article on Google AutoML Practical AI episode on BERT Practical AI episode on GPT-2 How to build a State-of-the-Art Conversational AI with Transfer Learning -NAACL workshop on transfer learning for NLP Something missing or broken? PRs welcome! ★ Support this podcast ★

Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visualizing neural networks and recurrent neural units. Andreas discusses various neural unites, RNNs in general, and the “why” of neural network visualization. He also gives us his perspective on ML/AI freelancing and moving from web development to AI research. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. strongDM – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Andreas Madsen – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Distill.pub by Andreas Taylor approximation and other mathematics related to neural networks Books “Programming Collective Intelligence” by Toby Segaran Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner. Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and deliver the narrative with impact! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. strongDM – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Local Meetups - Great for first steps, local help and relationship building, job connections, involvement in local projects, etc. Mostly free! PyData TensorFlow PyTorch Deep Learning etc. Large industry conferences - Great to see what some of the larger companies and innovative startups are doing with AI, application and infra focused, etc. Expensive. O’Reilly AI, Strata Data, TensorFlow World QCon AI, QCon Spark Summit MLConf Applied Machine Learning Days PyCon LiveWorx etc. Smaller, topical events or events focused on particular tools - Great if you are heavily invested in particular tech or a topic like NLP. In general you have to look around quite a bit to find these. TensorFlow dev summit Spacy IRL PyTorch developers conference AllenNLP Summit Applied Artificial Intelligence Conference DataSciConhttps://datascicon.tech/ Etc. Research conferences - Meant to be an outlet for original research. Great to see how research orgs/institutions are pushing the boundaries and doing groundbreaking things. Hard to get into and very academic. NeurIPS EMNLP ICLR CVPR etc. Some conference talks from the Practical AI hosts: Chris Benson’s upcoming talk at LiveWorx 2019 in Boston on Wednesday, June 12, 2019: Artificial Intelligence Strategy: Digital Transformation Through Deep Learning Examples of previous AI talks by Chris Benson Building GPU-Accelerated Workflows with TensorFlow and Kubernetes Fully Reproducible ML Deployment with Spark, Pachyderm, and MLeap Join the community — it’s free! Connect with us in the #practicalai Slack channel. The community is here for you as a place to below, to bounce ideas around, or to get feedback on a conference to attend or talk you’d like to give. Something missing or broken? PRs welcome! ★ Support this podcast ★

At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World. O’Reilly’s ‘AI Adoption in the Enterprise’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. strongDM – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring:Ben Lorica – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: O’Reilly’s AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice O’Reilly AI Conference 2019 | NYC Something missing or broken? PRs welcome! ★ Support this podcast ★

Can AI help quantum physicists? Can quantum physicists help the AI community? The answers are yes and yes! Dr. Shohini Ghose from Wilfrid Laurier University and Marcus Edwards from the University of Waterloo join us to discuss ML/AI’s impact on physics and quantum computing potential for ML/AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. strongDM – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Shohini Ghose – WebsiteMarcus Edwards – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Quantum Emulation project (email marcus@quantumemulation.com/) Efforts to use Quantum Computing to accelerate ML/AI: from Google from IBM Xanadu: a dedicated ML platform for quantum computers OpenQASM Rigetti Quantum open source foundation TED talk from Dr. Ghose Something missing or broken? PRs welcome! ★ Support this podcast ★

This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: TensorFlow Dev Summit 2019 TensorFlow 2.0 alpha release TensorFlow Datasets TensorFlow Extended (TFX) TensorFlow Addons O’Reilly TensorFlow World conference Something missing or broken? PRs welcome! ★ Support this podcast ★

No, this isn’t science fiction! CTRL-labs is using neural signals and AI to build neural interfaces. Adam Berenzweig, from CTRL-labs R&D, joins us to explain how this works and how they have made it practical. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. O'Reilly Open Source Software Conference – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring:Adam Berenzweig – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: O’Reilly AI keynote from CTRL-labs CTRL-labs website CTRL-kit TED talk “The real reason for brains” IBM healthcare Practical AI episode Something missing or broken? PRs welcome! ★ Support this podcast ★

While attending the NVIDIA GPU Technology Conference in Silicon Valley, Chris met up with Adam Stooke, a speaker and PhD student at UC Berkeley who is doing groundbreaking work in large-scale deep reinforcement learning and robotics. Adam took Chris on a tour of deep reinforcement learning - explaining what it is, how it works, and why it’s one of the hottest technologies in artificial intelligence! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. O'Reilly Open Source Software Conference – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring:Adam Stooke – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: NVIDIA GTC: Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning Accelerated Methods for Deep Reinforcement Learning Accelerated Methods for Deep Reinforcement Learning - code OpenAI Five - Dota 2 AlphaStar: Mastering the Real-Time Strategy Game StarCraft II NVIDIA Graduate Fellowship Crunchbase The Hertz Foundation Something missing or broken? PRs welcome! ★ Support this podcast ★

Longtime listeners know that we’re always advocating for ‘AI for good’, but this week we have taken it to a whole new level. We had the privilege of chatting with James Hodson, Director of the AI for Good Foundation, about ways they have used artificial intelligence to positively-impact the world - from food production to climate change. James inspired us to find our own ways to use AI for good, and we challenge our listeners to get out there and do some good! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. O'Reilly Open Source Software Conference – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:James Hodson – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: AI For Good Foundation AI For Good Foundation Video Lectures KDD Earth Day “Fragile Earth” Workshop Discounted Membership for Practical AI Podcast Listeners! AI Experts: Moving forward with AI likely a series of small steps, not giant leaps Something missing or broken? PRs welcome! ★ Support this podcast ★

GIPHY’s head of R&D, Nick Hasty, joins us to discuss their recently released celebrity detector project. He gives us all of the details about that project, but he also tells us about GIPHY’s origins, AI in general at GIPHY, and more! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. Discover.bot – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their Guide to Bot Building Frameworks. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring:Nick Hasty – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Blog post about the celeb detector project GIPHY Enters the Open Source Community with Celebrity Detector (readwrite article) MTCNN method used in the celebrity detector project GitHub repo Demo page 3D projection of celeb face embeddings Complete list of all celebs in the model Something missing or broken? PRs welcome! ★ Support this podcast ★

Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Our locally installed stuff: Jupyter Docker Python Go Postman Where we see AI workflows running: AWS GCP Azure Kubernetes and KubeFlow On-prem workstations: NVIDIA Lambda Labs System76 Experimentation / model development: JupyterLab Google Colaboratory AWS SageMaker Data Science platforms: Domino DataBricks DataRobot H2O.ai Pipelining and automation: Pachyderm Airflow Luigi Model optimization: OpenVino TensorRT TensorFlow Lite Serving: MXNet TensorFlow serving Seldon Monitoring/visibility: TensorBoard Netron Knock knock Prometheus ElasticSearch Something missing or broken? PRs welcome! ★ Support this podcast ★

While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Anima Anandkumar – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: Anima Anandkumar on Wikipedia NVIDIA GTC Speaker NVIDIA GTC Presentation: Role of Tensors in Machine Learning NVIDIA GTC Presentation: Infusing Physics into Deep Learning Algorithms with Applications to Stable Landing of Drones CalTech CMS TensorLab Google Scholar Something missing or broken? PRs welcome! ★ Support this podcast ★

Clément Delangue, the co-founder & CEO of Hugging Face, joined us to discuss fun, social, and conversational AI. Clem explained why social AI is important, what products they are building (social AIs who learn to chit-chat, talk sassy and trades selfies with you), and how this intersects with the latest research in AI for natural language. He also shared his vision for how AI for natural language with develop over the next few years. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Clément Delangue – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Hugging Face Voice Boloss Transformer model episodes: BERT GPT-2 Hugging Face’s Pytorch pre-trained model repo Rasa Lyrebird Allen Institute for AI AllenNLP OpenAI Fast.ai Betaworks Synthetic camp Something missing or broken? PRs welcome! ★ Support this podcast ★

The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Relevant learning resources: AI for Everyone Intel AI list of Ethics toolkits Government data Federal data portal Chicago data portal References / notes: The White House Executive Order 4 Experts Respond to Trump’s Executive Order on AI Trump’s executive order on AI, explained Trump to launch artificial intelligence initiative, but many details lacking (Science) National AI strategies overview (Medium article) China Is Leading in Artificial Intelligence–and American Businesses Should Take Note China plans to be a world leader in Artificial Intelligence by 2030 Global AI talent Report SUMMARY OF THE 2018 DEPARTMENT OF DEFENSE ARTIFICIAL INTELLIGENCE STRATEGY: Harnessing AI to Advance Our Security and Prosperity Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help? DOD Takes Strategic Approach to Artificial Intelligence Books “AI Superpowers” by Kai-Fu Lee Something missing or broken? PRs welcome! ★ Support this podcast ★

While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:El Mahdi El Mhamdi – Website, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: El Mahdi El Mhamdi on LinkedIn Google Scholar Personal blog World Health Organization | Ten threats to global health in 2019 AggregaThor The Hidden Vulnerability of Distributed Learning in Byzantium Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent Asynchronous Byzantine Machine Learning (the case of SGD) Something missing or broken? PRs welcome! ★ Support this podcast ★

This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Relevant learning resources: Jay Alammar “Illustrated” blog articles: The illustrated transformer The illustrated BERT, elmo, and co Machine Learning Explained blog: An In-Depth Tutorial to AllenNLP (From Basics to ELMo and BERT) Paper Dissected: “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” Explained References/notes: GPT-2 blog post from OpenAI GPT-2 Paper GPT-2 GitHub Repo GPT-2 PyTorch implementation Episode 22 of Practical AI about BERT OpenAI’s GPT-2: the model, the hype, and the controversy (towardsdatascience) The AI Text Generator That’s Too Dangerous to Make Public (Wired) Transformer paper Preparing for malicious uses of AI (OpenAI blog) Something missing or broken? PRs welcome! ★ Support this podcast ★

While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing & Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Anna Bethke – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: AI for Social Good at Intel National Center for Missing & Exploited Children Data for Democracy Data Kind Delta Analytics Driven Data Partnership on AI Tech Jobs for Good Applied Machine Learning Days Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Marta Martinez-Cámara – WebsiteMiranda Kreković – WebsiteChris Benson – Website, GitHub, LinkedIn, XShow Notes: GirlsCoding.org GirlsCoding.org on Twitter GirlsCoding.org on LinkedIn GirlsCoding on Facebook GirlsCoding.org at Applied Machine Learning Days Applied Machine Learning Days École Polytechnique Fédérale de Lausanne Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Jennifer Marsman – GitHub, XChris Benson – Website, GitHub, LinkedIn, XShow Notes: Jennifer Marsman’s blog AI for Earth Project Premonition (mosquitos/genomics) FarmBeats (agriculture) Wildbook (recognizing individual animals) #1 Wildbook (recognizing individual animals) #2 Repository of data sets Microsoft Green Twitter Something missing or broken? PRs welcome! ★ Support this podcast ★

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Courses Amazon Machine Learning with AWS Google Machine Learning Crash Course with TensorFlow APIs Microsoft Professional Program for Artificial Intelligence Coursera / deeplearning.ai NVIDIA Deep Learning Institute Google, Amazon, Microsoft: How do their free machine-learning courses compare? Stanford Machine Learning Videos on YouTube Books “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville “Natural Language Processing with PyTorch” by Delip Rao and Brian McMahan “Machine Learning With Go” by Daniel Whitenack and Janani Selvaraj (Daniel is too humble to put his own book in this list, so Chris inserted it above without Daniel’s knowledge - because it’s a damn fine book!) Hybrid resources Machine learning with TensorFlow crash course Intro to deep learning with PyTorch Spinning Up in Deep RL Meetups PyData Atlanta Deep Learning Meetup Something missing or broken? PRs welcome! ★ Support this podcast ★

Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Ajay Royyuru – WebsiteGuillermo Cecchi – Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: IBM 5 in 5: With AI, our words will be a window into our mental health Predicting Cognitive Impairments with a Mobile Application Automated analysis of recent-onset and prodromal schizophrenia Prediction of psychosis across protocols and risk cohorts using automated language analysis Something missing or broken? PRs welcome! ★ Support this podcast ★

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:2018 in Review Focus on more challenging ML problems Semi-supervised learning Domain adaptation Generative models Reinforcement learning NLP ELMO BERT Fear about AI GDPR, trust and privacy Cambridge analytica Facial recognition Tons of open sourced tooling, models Predictions for 2019 Focus on trust and transparency Bias Regulation GDPR and transparency, interpretability What will other countries do regarding regulation? AI for good Better voice and conversational results AI assistants Voice interfaces NLP advances More focus on product development, less on research Deep learning will explode in production product / service development Computer vision, NLP, speech recognition will be table stakes Increased accessibility of DL to software engineers / developers More testing/tooling Better training for data scientists Better integrations and infrastructure AutoML Organizational / Cultural Shifts New roles for data-based leadership - CDO, CAIO, etc., Strategy - AI becoming first-class concern Competitive Analysis - AI and data assessments mandatory Fragmentation into distinct subfields - AI, analytics, data science, prognostics A changing relationship between humans and automation AI + robotics - first steps Pervasive AI + IoT - first steps The importance of creative expertise for humans How to school your child today to prep for tomorrow Narrowly-scoped, highly-specific job functions at most risk Something missing or broken? PRs welcome! ★ Support this podcast ★

Susan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss The AI Maturity Playbook: Five Pillars of Enterprise Success. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own organizations - addressing everything from strategy and product development, to culture and ethics. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Susan Etlinger – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Machine Learning for fair decisions Bias examples - programmer, black male Increasing Trust in AI Services through Supplier’s Declarations of Conformity Introducing AI Fairness 360 The AI Maturity Playbook: Five Pillars of Enterprise Success AI Now - Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says General Data Protection Regulation Something missing or broken? PRs welcome! ★ Support this podcast ★

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News: NVIDIA’s open sourcing of TensorRT Amazon launches a machine learning chip The recently announced ONNX JS project Snapdragon Neural Processing Engine SDK Learning resources: Rise of the model servers TensorRT server tutorial ONNX JS on GitHub TensorFlow JS tutorials Something missing or broken? PRs welcome! ★ Support this podcast ★

Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Joe Doliner – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Pachyderm Pachyderm on GitHub Pachyderm tutorials DoD challenge built using Pachyderm Something missing or broken? PRs welcome! ★ Support this podcast ★

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Algolia – Our search partner. Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at algolia.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News/Discussion: Is artificial intelligence set to become art’s next medium? BERT (a new method for obtaining rich contextual language representations during pre-training): Google research article TensorFlow BERT BERT paper PyTorch BERT NY Times article Example Colab notebook BERT explained article Transformer paper Google Open Sources BERT to Train Natural Language Models Without Breaking the Bank Horizon: The first open source reinforcement learning platform for large-scale products and services Does Synthetic Data Hold The Secret To Artificial Intelligence? AI Experts: Moving forward with AI likely a series of small steps, not giant leaps Learning resources: The Backpropagation Algorithm Demystified Books “Grokking Deep Learning” by Andrew Trask Something missing or broken? PRs welcome! ★ Support this podcast ★

We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures. In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Uber to build out a machine learning platform and some of the new features they are exploring. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Cormac Brick – Website, XMike Del Balso – WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Intel’s Movidius Group OpenVINO Toolkit ngraph Uber’s Michelangelo Something missing or broken? PRs welcome! ★ Support this podcast ★

Brett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Brett Gaylor – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Winners of the Creative Media Awards Do not track movie The Science behind Cambridge Analytica Mozilla manifesto Machine bias article from ProPublica Practical AI episode from Lindsey Zuloaga about bias Something missing or broken? PRs welcome! ★ Support this podcast ★

Himani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&T and telecom in general. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Himani Agrawal – Website, GitHubChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: MLConf SF Grace Hopper Celebration Galvanize Fast.ai Thinkful bootcamp Magenta project Something missing or broken? PRs welcome! ★ Support this podcast ★

In this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News from Daniel: AI portrait up for auction Graph ML related things: Deepmind Graphnet library Knowledge Graphs and ML Semantic Scholar CSV conf News from Chris: Magic Leap’s new AI assistant looks alarmingly human MIT Stephen A. Schwarzman College of Computing Deep-learning algorithm identifies dense tissue in mammograms Learning resources: Neural network playground IBM AI Fairness 360 Towards Data Science Artificial Intelligence: What’s The Difference Between Deep Learning And Reinforcement Learning? Something missing or broken? PRs welcome! ★ Support this podcast ★

Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Lindsey Zuloaga – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Compas recidivism model HireVue IBM fairness 360 Attacking discrimination with smarter machine learning Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News from Daniel: Introducing PyTorch across Google cloud VentureBeat article about PyTorch v1.0 Google’s general recommended practices for AI Deep learning made easier with transfer learning Decision tree visualization Anatomy of an AI system It’s hacktoberfest! Conference calls: AMLD O’Reilly AI NY CPVR News from Chris: TensorFlow RoadMap, TensorFlow 2 Leave No Dark Corner The 5 Steps To Build A Business’s Deep Learning Workflow The Pentagon is investing $2 billion into artificial intelligence Google Dataset Search What do you get when you mix sugar water, 3D printing and deep learning? Learning resources: Udacity Machine Learning Course by GA Tech Machine learning cheat sheets Something missing or broken? PRs welcome! ★ Support this podcast ★

NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Bill Dally – WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: NVIDIA Research NVIDIA Deep Learning Accelerator (NVDLA) CUDA AI-Powered Self-Driving Cars Progressive GANs Optical Flow and Deep Learning TensorRT Deep Learning Super Sampling NVIDIA DGX2 NVSwitch and NVLink NVIDIA Deep Learning Institute Something missing or broken? PRs welcome! ★ Support this podcast ★

We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Wojciech Zaremba – Website, GitHub, XDaniel Whitenack – Website, GitHub, XShow Notes: Woj’s talk at O’Reilly AI OpenAI OpenAI blog The Dota playing team of AIs from OpenAI Microsoft Tay Chatbot Reinforcement learning Wikipedia Berkeley course CS294-112 on Reinforcement learning. Includes pdf notes and YouTube videos of the lectures. Books “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville “Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto Something missing or broken? PRs welcome! ★ Support this podcast ★

An amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Wes Jensen – WebsitePeter Ma – WebsiteDavid Ojika – XVinay Rao – Website, XOsamah Mohammed Ali – WebsiteDaniel Whitenack – Website, GitHub, XShow Notes: Intel AI Academy Intel DevCloud Movidius Neural Compute Stick Cloud AutoML Google’s AutoML: Cutting Through the Hype MLPerf OpenVino, OpenCV SDK Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News/Updates: New seq2seq architecture without explicit encoder/decoder Dancing video synthesis O’Reilly AI SF How AI is decommoditizing the chip industry Johns Hopkins researchers use deep learning to combat pancreatic cancer Artificial intelligence system designs drugs from scratch Learning Resources: Hands on ML books dataviz Udemy - Complete Guide to TensorFlow for Deep Learning with Python Books “Hands-On Machine Learning” by Aurélien Géron Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Featuring:Chris DeBellis – WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Matterport R-CNN Mask R-CNN paper COCO dataset Stanford CNN course Stanford Deep Learning course Facebook’s Detectron Something missing or broken? PRs welcome! ★ Support this podcast ★

This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it! Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: The State of Machine Learning Adoption in the Enterprise AutoKeras: The Killer of Google’s AutoML Netron NN visualizer What’s the Purpose of Companies in the Age of AI? Julia 1.0 AI Nationalism OpenAI and Dota PyTorch Tutorials How to Get Started in Machine Learning and Robotics Something missing or broken? PRs welcome! ★ Support this podcast ★

Mike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Mike Bugembe – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: JustGiving BJ Fogg’s Behavioral Model Books “Cracking The Data Code” by Mike Bugembe Something missing or broken? PRs welcome! ★ Support this podcast ★

Chris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News: RFP for National Geographic AI earth innovation Intel - AI Interplanetary challenge App that lets Alexa read sign language The mythos of model interpretability Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes Think You Know How Disruptive Artificial Intelligence Is? Think Again. How the Enlightenment Ends Learning resources: Pandas tips and tricks Mastering vim quickly An introduction to Gradient Descent Algorithm Introducing capsule networks Something missing or broken? PRs welcome! ★ Support this podcast ★

Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Jared Lander – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Lander Analytics New York R Conference New York Open Statistical Programming Meetup Books “R for Everyone” by Jared Lander “Applied Predictive Modeling” by Max Kuhn and Kjell Johnson “Deep Learning with R” by Francois Chollet and J. J. Allaire Something missing or broken? PRs welcome! ★ Support this podcast ★

In this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: ACLU calls for a moratorium on government use of facial recognition technologies – TechCrunch Doing good data science - O’Reilly Media An Overview of National AI Strategies – Politics + AI – Medium Meet CIMON, the 1st Robot with Artificial Intelligence to Fly in Space AI at Google: our principles Foundations of Machine Learning Machine Learning Crash Course  |  Google Developers Best Laptop for Machine Learning - YouTube Something missing or broken? PRs welcome! ★ Support this podcast ★

Andrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Andrew Vanderburg – WebsiteChris Shallue – Website, GitHubChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Google AI Blog: Open Sourcing the Hunt for Exoplanets Artificial Intelligence, NASA Data Used to Discover Exoplanet | NASA Something missing or broken? PRs welcome! ★ Support this podcast ★

Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR). Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Matthew Carroll – Website, XAndrew Burt – Website, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Introducing the world’s first data management platform for data science. - Immuta General Data Protection Regulation - Wikipedia Something missing or broken? PRs welcome! ★ Support this podcast ★

Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Amanda Ramcharan – Website, GitHub, XLatifa Mrisho – XPeter McCloskey – Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Assessing a mobile-based deep learning model for plant disease surveillance Penn State-developed plant-disease app recognized by Google Something missing or broken? PRs welcome! ★ Support this podcast ★

Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Mat Ryer – Website, GitHub, LinkedIn, XDavid Hernandez – GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: MachineBox Books “Go Programming Blueprints” by Mat Ryer Something missing or broken? PRs welcome! ★ Support this podcast ★

In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai. Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog Featuring:Daniel Whitenack – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XAdam Stacoviak – Website, GitHub, LinkedIn, Mastodon, XJerod Santo – GitHub, LinkedIn, Mastodon, XShow Notes: Symbolic artificial intelligence Deep learning Machine learning NVIDIA’s GPU Technology Conference (GTC) - the premier AI and deep learning event from NVIDIA. Something missing or broken? PRs welcome! ★ Support this podcast ★