- Publisher |
- Changelog Media
- Media Type |
- audio
- Podknife tags |
- Artificial Intelligence,
- Business,
- Data Science,
- Interview,
- Machine Learning,
- Tech News,
- Technology
- Categories Via RSS |
- Software How-To,
- Tech News,
- Technology
- People |
- Country Of Origin |
- USA
- Produced In |
- Atlanta, GA
- Premiere Date |
- 2018-07-02
- Frequency |
- Weekly
- Explicit |
- No
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Submit ReviewLarge 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.
Changelog++ 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
- 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:
- Rajiv Shah – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHub
- Generative Agents: Interactive Simulacra of Human Behavior
- Wolfram ChatGPT
- Comparing LLMs
- LangChain
- Learn about LLMs:
- Learning Prompting
- Getting Started with Transformers:
- Training your own LLM Models:
- Dolly blog post
- Illustrating Reinforcement Learning from Human Feedback
Something missing or broken? ai-219.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:43) - Rajiv Shah(01:55) - AI on TikTok?(03:31) - Community engagement on TikTok(04:49) - Ever-growing mind-blowing moments(06:24) - Reaching different audiences(07:57) - What is in-context-learning?(10:52) - Prompt engineering with better models(13:01) - Growing productive users(14:52) - The landscape of large language models(18:16) - Sorting through this delightful mess(19:46) - Hugging Face highlights(23:06) - Practical fine-tuning(26:00) - What are we talking about?(28:29) - Where does AI fit into education?(30:20) - A different kind of consumer(31:54) - Talking to the average Joe about AI(34:02) - What do you see through the looking glass?(36:06) - Great Hugging Face resources(37:08) - Outro
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?”
Changelog++ 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
- 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.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You iterlly can’t get any faster!
Featuring:
- Amanda Wasielewski – Twitter, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-218.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Amanda Wasielewski(04:28) - What is art history?(10:00) - Integrating artworks for ML?(13:47) - How are art historians adaption to ML?(19:16) - Art models and the Tank Classifier(24:27) - What ML devs can learn from art history(32:06) - Deep learning paradoxes(38:12) - Where is the field going?(42:21) - Outro
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.
Changelog++ 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.com
- 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++ – 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 – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Christof Henkel | Kaggle
- NVIDIA Kaggle Grandmasters
- Kaggle
- NVIDIA RAPIDS
- NVIDIA Data Loading Library (DALI)
Something missing or broken? ai-217.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:41) - Christof Henkel(01:57) - What is Kaggle?(07:34) - How has Kaggle helped?(09:38) - Deep Learning 5-6 years ago(11:05) - What were the changes like?(14:10) - Sponsor: Changelog++(15:09) - How Kaggle compares to real life(21:56) - Any Kaggle highlights?(24:04) - How to climb the Kaggle ladder?(26:39) - Accelerated GPUs in Kaggle(30:25) - Speeding up my process(34:37) - What comes up in the discussions?(37:36) - Getting started(41:06) - What's next for Christof(42:57) - Outro
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.
Changelog++ 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.com
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You iterlly can’t get any faster!
Featuring:
- Beth Rudden – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-216.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Beth Rudden(07:30) - Bringing in ontology(16:27) - Don't infer consciousness(22:18) - Dealing with bias(25:59) - How to create access(31:35) - Using AI responsibly(38:31) - Implementing NLG to more modalities(42:14) - Will AI make you learn better?(44:19) - Wrap up(44:50) - Outro
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.
Changelog++ 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
- 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:
- Bryan McCann – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- You.com
- Open Platform for developers
- Join the You.com Discord server
Something missing or broken? ai-215.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Bryan Mccann(01:47) - What is You.com?(06:21) - What's different in these new algorithms(09:28) - How has the public view changed You.com?(11:53) - Will this change search engines?(15:19) - How will You.com enhance tooling?(17:41) - You and mutli-modality(21:17) - AI tools for the next generation(26:28) - Any wisdom worth sharing?(29:49) - Our future relationship with models(34:11) - Practical tips for practitioners(38:24) - How to get started on You.com(41:06) - Outro
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.
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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
- 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:
- Erik Bernhardsson – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-214.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Erik Bernhardsson(02:29) - What got Modal started(08:55) - What makes Modal different?(12:13) - Pros and cons of this workflow(15:36) - What it's like in my experience(21:37) - Most unexpected uses for Modal(23:57) - The classic Modal workflow(31:04) - Tips for migrating into Modal(34:35) - How will Modal grow?(37:56) - Will you take Modal to the edge?(40:03) - Wrap up(43:24) - Outro
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.
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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
- 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++ – 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:
Show Notes:
Generative AI model behavior in the news:
- Microsoft’s AI chatbot is going off the rails
- chatbot-microsoft-chatgpt.html">A Conversation With Bing’s Chatbot Left Me Deeply Unsettled
- Sydney’s gaslighting
- ChatGPT political bias
- Stable Diffusion amplification of stereotypes
Useful guides related to prompt engineering:
- co:here prompt engineering guide
- Prompt engineering overview from Elvis Savaria
- 10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3
- Image generation prompt engineering guides: see here and thought.com/how-to-create-effective-prompts-for-ai-image-generation/">here
Something missing or broken? ai-213.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:43) - Best time for an AI podcast?(05:19) - What makes output good or bad?(15:36) - Sponsor: Changelog++(16:36) - Behind the behavior(19:23) - What can we reliably expect?(29:14) - Prompt Engineering(35:11) - Tips on engineering prompts(43:05) - Outro
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.
Changelog++ 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
- 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:
- Jay Alammar – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Jay’s popular blog (with posts including “The Illustrated Transformer”)
- co:here
- Topically sandbox - topic modeling
- co:here’s prompt engineering guide
Something missing or broken? ai-212.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Jay Alammar(03:33) - Jay's origin story(08:49) - Tips for educational content creators(12:26) - Applied NLP(16:34) - Are data scientists becoming software engineers?(21:47) - When should I be using these tools?(25:55) - co:here(28:39) - How is this landscaoe changing?(32:41) - Multi-modality: How do I use this?(35:56) - Jay, what do you want to explore?(37:42) - Outro
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!
Changelog++ 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.com
- 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++ – 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 – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Banana - Scale your machine learning inference and training on serverless GPUs.
Something missing or broken? ai-211.md">PRs welcome!
Timestamps:
(00:07) - Welcome to Practical AI(00:43) - Erik Dunteman(02:34) - What does serverless mean to you?(07:17) - What's the secret sauce?(09:30) - How does serverless affect our workflows?(13:21) - Sponsor: Changelog++(14:21) - What languages do you prefer?(17:20) - The Banana workflow(20:33) - The necessary minimum skills to use Banana(24:51) - A typical win(26:20) - Incompatible workflows(30:11) - Future Banana-AWS compatability?(32:53) - Tips to choose your GPU(35:23) - What's the future of serverless?(37:46) - Outro
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.
Changelog++ 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.com
- 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++ – 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 – Twitter
- Mihail Eric – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-210.md">PRs welcome!
Timestamps:
(00:07) - Welcome to Practical AI(00:43) - Demetrios and Mihail(01:54) - What is the MLOps Community?(05:14) - Chris throws a hand grenade into the convo(09:44) - MLOps vs DevOps when deploying(15:30) - Ops vs experiment tracking(16:43) - Where is MLOps going?(25:57) - Is this even legal??(32:22) - Sponsor: Changelog++(33:21) - Is generative model bloat an issue?(36:35) - MLOps' diverse uses(42:52) - You are not Google(54:07) - Wrap up(56:07) - Outro
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!
Changelog++ 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.com
- 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:
- Beau Perschall – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- NVIDIA’s Omniverse
- Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets
- Tech blog around Omniverse and SimReady assets
Something missing or broken? ai-209.md">PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI(00:42) - Beau Perschall(05:30) - Omniverse 101(10:27) - What can you do in the omniverse?(13:26) - Will Omniverse be unique for everyone?(20:13) - Will Omniverse have good 3D?(26:39) - Omniverse in context(30:43) - Synthetic data(35:31) - Nvidia's plan for low internet areas(38:44) - What keeps you up at night?(41:11) - Wrap up(41:46) - Outro
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!
Changelog++ 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
- 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:
- Nader Khalil – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
DISCOUNT 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? ai-208.md">PRs welcome!
Timestamps:
(00:00) - Intro(00:45) - Welcome to Practical AI(01:20) - Nader Khalil(07:56) - Dependency issues(10:22) - Stepping away from the classical approach(13:55) - Getting excited about Brev.dev(18:14) - Multi-cloud considerations(24:57) - Brev.dev Templates(31:16) - Collaboration with Brev(32:59) - Brev in private environments(35:30) - Nader's future(39:05) - Outro
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.
Changelog++ 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 – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-207.md">PRs welcome!
Timestamps:
(00:00) - Opener(00:37) - Welcome to Practical AI(01:12) - Kirsten Lum(05:44) - Selling short in data science(08:02) - FUD from a management POV(13:44) - Data science is like cooking(17:32) - Sponsor: The Changelog(19:16) - What to focus on when you're new(22:33) - Managing flexibility in a small company(26:26) - Navigating people in a small business(29:17) - Putting the practical in PracticalAI(35:54) - How to approach non data-centric people(39:26) - Advantages of small ML orgs over big orgs(42:37) - Mentoring people the right way(46:00) - Looking into the future(49:04) - Outro
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.
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Featuring:
Show Notes:
Something missing or broken? ai-206.md">PRs welcome!
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!
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
- Just Zwennicker – LinkedIn
- Andiswa Bukula – Twitter
- Rooweither Mabuya – Twitter
- Bonaventure Dossou – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
EMNLP 2022 papers from the guests:
- Towards a general purpose machine translation system for Sranantongo
- MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
- AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
Other links relevant to the discussion:
Something missing or broken? ai-205.md">PRs welcome!
Timestamps:
(00:00) - Opener(00:34) - Welcome to Practical AI(01:17) - EMNLP conference(03:44) - What are you passionate about?(10:19) - Creole languages(14:19) - What is Masakhane?(19:18) - What can YOU do?(29:04) - Wrapping up with our mother tongues(35:58) - Outro
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.
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Featuring:
Show Notes:
Something missing or broken? ai-204.md">PRs welcome!
Timestamps:
(00:00) - Opener(00:57) - Welcome to Practical AI(01:40) - Unbabel(06:24) - So much more than a confidence score(10:41) - Quality estimation(14:37) - When words don't align(21:52) - KNNMT(24:32) - This gets us excited(28:02) - Find out more(29:41) - Outro
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).
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
- Matthew Lanham – Twitter, Website
- Mark Tabladillo – Twitter, LinkedIn
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Purdue University’s Krannert School of Business
- Master the basics of Azure: AI Fundamentals
- Azure Architecture Center
- SIL International
- The bloom-captioning dataset
Books
Something missing or broken? ai-203.md">PRs welcome!
Timestamps:
(00:00) - Opener(01:09) - Welcome to Practical AI(01:51) - Matthew Lanham(10:18) - Mark Tabladillo(22:22) - Winning undergrad team(26:43) - Winning graduate team(33:09) - Outro
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.
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Featuring:
Show Notes:
Related to Copilot:
- Article - “GitHub Copilot Isn’t Worth the Risk”
- Tabnine
- project.org/">Big Code Project
Related to Galactica:
Books
Something missing or broken? ai-202.md">PRs welcome!
Timestamps:
(00:00) - Opener(00:31) - Welcome to Practical AI(01:14) - Intro(02:27) - My barber does crypto(04:50) - What could go wrong with AI?(14:33) - Is code really unique?(18:59) - Governance in AI(25:54) - Galactica(41:26) - Wrap up(43:25) - Outro
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.
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Featuring:
- Matar Haller – GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-201.md">PRs welcome!
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.
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Featuring:
- Yonatan Cohen – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
machines.co/">Quantum Machines
Something missing or broken? ai-200.md">PRs welcome!
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!
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Show Notes:
- Daniel’s team license from recent work
- Graph Neural Network courses from Zak Jost
- Coqui voice studio
Something missing or broken? ai-199.md">PRs welcome!
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.
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Featuring:
Show Notes:
Something missing or broken? ai-198.md">PRs welcome!
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.
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Featuring:
- John K. Thompson – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show 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. Thompson
- John’s other books:
Something missing or broken? ai-197.md">PRs welcome!
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.
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Show Notes:
Something missing or broken? ai-196.md">PRs welcome!
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!
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Featuring:
Show Notes:
Something missing or broken? ai-195.md">PRs welcome!
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.
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Featuring:
- Charles Martin – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- WeightWatcher
- Talk from the Silicon Valley ACM meetup
- A deep dive into the theory behind WeightWatcher (a talk from ENS)
Something missing or broken? ai-194.md">PRs welcome!
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).
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Show Notes:
- Announcement blog post
- Stable diffusion paper
- Blog post about the model from Marc Päpper
- Stable Diffusion on Hugging Face
- Hugging Face Diffusers library
Something missing or broken? ai-193.md">PRs welcome!
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.
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Show Notes:
Automation and creativity
- Goodbye, humans: Call centers ‘could save $80b’ switching to AI
- DALL-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 Pissed
Nation states and AI
- Undeclared pools in France uncovered by AI technology
- France reveals hidden swimming pools with AI, taxes them
- says-us-government-allows-ai-chip-development-in-china.html">Nvidia says U.S. government allows A.I. chip development in China
- Foreign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More Dangerous
Resources
Something missing or broken? ai-192.md">PRs welcome!
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.
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Featuring:
Show Notes:
- Google’s Responsible AI Practices - Privacy
- What is Data De-identification and Why is It Important?
- Hugging Face - Stable Diffusion Demo
- floret: lightweight, robust word vectors
- Using oneAPI with Intel® FPGAs Workshop
Something missing or broken? ai-191.md">PRs welcome!
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.
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Featuring:
- Lior Hakim – LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-190.md">PRs welcome!
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).
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Featuring:
Show Notes:
- Truss on GitHub
- CMU: AI Pilot Can Navigate Crowded Airspace
- Embarrassingly Parallel Training of Expert Language Models
- Toucan: Learn español without even trying
- 3D Vision with Transformers: A Survey
- Sphere: Natural Language Processing with Transformers
- SkyJack on GitHub
- NVIDIA AI Demos
Something missing or broken? ai-189.md">PRs welcome!
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.
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Featuring:
Show Notes:
- AlphaFold
- AlphaFold reveals the structure of the protein universe
- AlphaFold: Timeline of a breakthrough
- AlphaFold Protein Structure Database
- GitHub: deepmind / alphafold
- Oxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracle
- Nature: How AlphaFold can realize AI’s full potential in structural biology
- Nature: ‘The entire protein universe’: AI predicts shape of nearly every known protein
- Nature: Highly accurate protein structure prediction with AlphaFold
Something missing or broken? ai-188.md">PRs welcome!
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.
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Featuring:
- Solana Larsen – Twitter, LinkedIn
- Bridget Todd – Twitter
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-187.md">PRs welcome!
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.
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Featuring:
Show Notes:
Source articles for our conversation
- The Geopolitics Of Artificial Intelligence
- Geopolitical implications of AI and digital surveillance adoption
- Artificial intelligence is already upending geopolitics
- Huge “foundation models” are turbo-charging AI progress
Learning Resource
Something missing or broken? ai-186.md">PRs welcome!
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?
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Featuring:
Show Notes:
- DALL·E: Creating Images from Text
- How DALL-E 2 Actually Works
- Google - Raccoons in Space!
- On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Something missing or broken? ai-185.md">PRs welcome!
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.
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Featuring:
- Josh Meyer – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Coqui
- BibleTTS - Data and models for African langauges
- Coqui TTS Hugging Face Space
- Coqui on Github
- Joshua’s previous Practical AI episode about Common Voice
Something missing or broken? ai-184.md">PRs welcome!
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.
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Featuring:
- Drausin Wulsin – LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-183.md">PRs welcome!
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!
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Featuring:
- Montana Low – Twitter, GitHub, LinkedIn
- Lev Kokotov – GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-182.md">PRs welcome!
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.
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Featuring:
Show Notes:
Digital Humans videos:
Virtual Learning Buddy teaching kids to read:
- solutions.com/uk/global-blog/a-virtual-ai-buddy-helps-kids-learn-to-read/">Related blog post
- More information about NTT DATA’s work with MIT Media Lab
Something missing or broken? ai-181.md">PRs welcome!
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).
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Show Notes:
DeepMind’s Gato:
Iceman’s voice in Top Gun:
Responsible AI review processes: From a developer’s point of view
Something missing or broken? ai-180.md">PRs welcome!
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!
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Featuring:
- Merve Noyan – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-179.md">PRs welcome!
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.
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Featuring:
- Sarah Moeller – GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-178.md">PRs welcome!
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.
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- Sean McClain – Twitter, LinkedIn
- Joshua Meier – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- View Absci’s AI Lead Scientist Joshua Meier’s presentation at NVIDIA GTC 2022
- Learn more about Absci’s machine learning breakthroughs presented at GTC
- Learn more about Absci AI Research (AAIR) Lab
- View career opportunities at Absci
- Absci AI drug discovery technology
- Watch the Truist AI Symposium Podcast to get help demystifying the use of AI in drug discovery
- Absci website
Something missing or broken? ai-177.md">PRs welcome!
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.
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- 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 – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-176.md">PRs welcome!
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.
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Featuring:
- Leo Mutuku – Twitter, GitHub, LinkedIn, Website
- Godliver Owomugisha – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
- Joyce Nabende – Twitter
Show Notes:
- Godliver’s Google Scholar page
- Godliver’s academic homepage
- Local Development Research Institute (LDRI)
- CropSpec
- Open for Good Alliance
Something missing or broken? ai-175.md">PRs welcome!
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.
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Featuring:
- Abubakar Abid – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-174.md">PRs welcome!
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!
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Featuring:
Show Notes:
BigScience Language Model Training
H100 from NVIDIA
- [White paper](https://www.nvidia.com/en-us/data-center/h100/ store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf">https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf)
- Omniverse platform
- Earth-2 Supercomputer
Something missing or broken? ai-173.md">PRs welcome!
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.
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Featuring:
Show Notes:
- Report: “On the Opportunities and Risks of Foundation Models”
- Follow up Blog post: “Reflections on Foundation Models”
Something missing or broken? ai-172.md">PRs welcome!
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.
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Featuring:
Show Notes:
Learning Resources
- Go.Dev - a great programming language for data fabric development
Books
Something missing or broken? ai-171.md">PRs welcome!
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.
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Featuring:
- Lukas Egger – Twitter, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- process-intelligence.html">SAP BPI
- Pioneers, Settlers, Town Planners
- More with LeSS
- The Fifth Discipline: The Art & Practice of The Learning Organization
- Kaizen | Wikipedia
- Stratechery
Something missing or broken? ai-170.md">PRs welcome!
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.
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Featuring:
- Alon Klein Orback – Twitter
- Moses Guttmann –
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-169.md">PRs welcome!
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.
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Show Notes:
- The first high-performance self-supervised algorithm that works for speech, vision, and text
- DeepMind says its new AI coding engine is as good as an average human programmer
- Artificial intelligence system rapidly predicts how two proteins will attach
- theory.brown.edu">Seeing Theory
Books
- “The Art of Doing Science and Engineering” by Richard W. Hamming
- “Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht
Something missing or broken? ai-168.md">PRs welcome!
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.
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Featuring:
- Kathleen Siminyu – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
- Joyce Nabende – Twitter
Show Notes:
Something missing or broken? ai-167.md">PRs welcome!
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.
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Featuring:
- Thomas Simonini – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Natalie Pistunovich – Twitter, GitHub
Show Notes:
Something missing or broken? ai-166.md">PRs welcome!
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.
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Featuring:
- Bonaventure Dossou – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Natalie Pistunovich – Twitter, GitHub
Show Notes:
- Bonaventure Dossou | Instagram
- 2020 — ongoing: My Year of Fame and how I joined the world of Research
Something missing or broken? ai-165.md">PRs welcome!
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.
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Featuring:
- David Kanter – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Press Release about MLCommons datasets: MLCommons™ Association Unveils Open Datasets and Tools to Drive Democratization of Machine Learning
- NeurIPS Papers:
- Gradient article: New Datasets to Democratize Speech Recognition Technology
- Blog posts for more insight:
- Downloads:
Something missing or broken? ai-164.md">PRs welcome!
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.
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- 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!
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Featuring:
- Yaron Singer – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-163.md">PRs welcome!
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.
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- 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 – Twitter
- Abba Barde – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
- Joyce Nabende – Twitter
Show Notes:
- Radiant Earth
- ML for Earth Observation online course
- “Spot the crop” challenge
- Open for Good Alliance
Something missing or broken? ai-162.md">PRs welcome!
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.
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- 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:
Show Notes:
- OpenAI’s API Now Available with No Waitlist
- Hugging Face SnowballFight beta
- Hugging Face Data Measurements Tool
- Pandas Tutor
- ClearML
Something missing or broken? ai-161.md">PRs welcome!
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.
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- 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 – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-160.md">PRs welcome!
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.
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Featuring:
- Paula Goldman – Twitter, LinkedIn, Website
- Sam Ransbotham – Twitter
- Shervin Khodabandeh – LinkedIn, Website
Show Notes:
Subscribe to Me, Myself, and AI on Apple Podcasts, Spotify, or Google Podcasts.
Something missing or broken? ai-takeover-mmai-304.md">PRs welcome!
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.
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- 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/dataops
- 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!
Featuring:
- Natalie Pistunovich – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- GitHub Copilot
- OpenAI Codex Beta
- Previous GopherCon Workshop: Infrastructure for a Fraud Detection ML Application
Something missing or broken? ai-159.md">PRs welcome!
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.
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- 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/dataops
- 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!
Featuring:
Show Notes:
- InfoQ: BigScience Research Workshop Releases AI Language Model T0
- Hugging Face: bigscience / T0pp
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- IEEE Specturm: How Deep Learning Works
- 5 Deep Learning Activation Functions You Need to Know
Something missing or broken? ai-158.md">PRs welcome!
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.
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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/dataops
- 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.
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Featuring:
Show Notes:
- The AI Index Report: Measuring Trends in Artificial Intelligence
- IEEE Spectrum: 15 Graphs You Need to See to Understand AI in 2021
- Delphi: Towards Machine Ethics and Norms
- IEEE Spectrum: Machines Learn Good From Commonsense Norm Bank
Something missing or broken? ai-157.md">PRs welcome!
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.
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- LaunchDarkly / 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.com
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Featuring:
- Nicholas Harris – Twitter, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-156.md">PRs welcome!
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.
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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
- LaunchDarkly / 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.com
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Something missing or broken? ai-155.md">PRs welcome!
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.
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Featuring:
- Joyce Nabende – Twitter
- Mutembesa – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Makerere AI Lab
- Makerere AI Lab - projects
- Open for Good Alliance
- International Development Research Centre - Canada
- FAIR Forward – Artificial Intelligence for All - GIZ
Something missing or broken? ai-154.md">PRs welcome!
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.
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Featuring:
Show Notes:
Learning:
Frameworks/ open source projects:
Example uses of Federated Learning:
- Federated Learning for Mobile Keyboard Prediction
- Your voice & audio data stays private while Google Assistant improves
- Facebook is rebuilding its ads to know a lot less about you
- Federated learning for predicting clinical outcomes in patients with COVID-19
Something missing or broken? ai-153.md">PRs welcome!
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!
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Featuring:
- Tivadar Danka – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Books
Something missing or broken? ai-152.md">PRs welcome!
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.
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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
AIfor $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!
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- 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:
Show Notes:
- Polarity Mapping
- Barry Johnson’s paper “Reflections A Perspective on Paradox and Its Application to Modern Management”
Something missing or broken? ai-151.md">PRs welcome!
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.
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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
AIfor $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.com
Featuring:
Show Notes:
Books
-
“Effective Data Science Infrastructure” by Ville Tuulos
- Use code podpracticalAI19 for 40% off!
Something missing or broken? ai-150.md">PRs welcome!
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.
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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
SHIPITfor $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.com
Featuring:
- Michael Malyuk – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-149.md">PRs welcome!
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!
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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
SHIPITfor $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.com
Featuring:
- Yonatan Geifman – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Deci
- An Introduction to the Inference Stack and Inference Acceleration Techniques
- Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs
- DeciNets: A New Efficient Frontier for Computer Vision Models
- white-paper-autonac.pdf">White paper
Something missing or broken? ai-148.md">PRs welcome!
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).
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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
SHIPITfor $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.com
Featuring:
- Peter Wang – Twitter, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Anaconda’s State of Data Science
- Pyston Team Joins Anaconda to Expand Open-Source Project Development
Something missing or broken? ai-147.md">PRs welcome!
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.
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AIfor $25 in developer credit.
Featuring:
Show Notes:
- A New AI Lexicon
- A New AI Lexicon: An Electric Brain
- A New AI Lexicon: Function Creep
- A New AI Lexicon: Smart
- A New AI Lexicon: Artificial Identity Cataracts
- A New AI Lexicon: Imbrication
Books
Something missing or broken? ai-146.md">PRs welcome!
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.
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- 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
AIfor $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!
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Featuring:
Show Notes:
- Jacaranda Health video
- Jacaranda Health article
- Jacaranda Health website
- How AI helps mothers in Kenya get the care they need, faster (article)
Something missing or broken? ai-145.md">PRs welcome!
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.
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- 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 – Twitter, LinkedIn, Website
- Nick Wan – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Be sure to tune in to the SLICED semifinals August 10th and the SLICED championships August 17th!
SLICED links:
Something missing or broken? ai-144.md">PRs welcome!
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.
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- 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/practicalai
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Featuring:
- Yotam Mann – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Never Before Heard Sounds
- Yotam’s personal website
- Holly+
- Real Time Hardware for Audio Processing
- gan.style
- Onsets and Frames (Piano Transcription)
- DDSP: Differentiable Digital Signal Processing
Something missing or broken? ai-143.md">PRs welcome!
Inspired by a recent article from Erik Bernhardsson titled “data-team-a-short-story.html">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.
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- 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.
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Featuring:
Show Notes:
- data-team-a-short-story.html">“Building a data team at a mid-stage startup: a short story” by Erik Bernhardsson
Books
Something missing or broken? ai-142.md">PRs welcome!
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.
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- 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/practicalai
- Snowplow 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.com
- 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!
Featuring:
- Roey Mechrez – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-141.md">PRs welcome!
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).
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- Snowplow 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.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:
Show Notes:
Books
- “Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch (use podpracticalAI19 for 40% off)
- “A Thousand Brains” by Jeff Hawkins
Something missing or broken? ai-140.md">PRs welcome!
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.
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- 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/practicalai
- Snowplow 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.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:
Show Notes:
- Pinecone | Website
- Pinecone | Twitter
- Pinecone | LinkedIn
- TheNextPlatform - It’s Time to Start Paying Attention to Vector Databases
- TheNewStack - Pinecone: A Vector Database for Machine Learning Applications
Something missing or broken? ai-139.md">PRs welcome!
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.
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- 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/changelog
- Snowplow 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.com
- 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:
- William Falcon – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- PyTorch Lightning | Website
- PyTorch Lightning | Twitter
- PyTorch Lightning | LinkedIn
- PyTorch Lightning | GitHub
- Grid.ai | Website
- Grid.ai | Twitter
- Grid.ai | LinkedIn
- Grid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and Production
- Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production
- launches-platform-to-train-machine-learning-models-in-the-cloud-301267901.html">Grid.ai Launches Platform to Train Machine Learning Models in the Cloud
Something missing or broken? ai-138.md">PRs welcome!
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.
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- 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/changelog
- Snowplow 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.com
- 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:
Show Notes:
- High-performance speech recognition with no supervision at all
- deeplearning.ai MLOps course
- GitHub MLOps resources
Books
Something missing or broken? ai-137.md">PRs welcome!
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.
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- 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/changelog
- Snowplow 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.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:
- Tuhin Srivastava – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-136.md">PRs welcome!
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.
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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/changelog
- Snowplow 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.com
- 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:
- José Valim – Twitter, GitHub, Website
- Jerod Santo – Mastodon, Twitter, GitHub, LinkedIn
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Nx (Numerical Elixir) is now publicly available
- Axon
- Livebook
- Jax
- Livebook demo on YouTube
- Erlang Ecosystem Foundation
Books
Something missing or broken? ai-135.md">PRs welcome!
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.
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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/changelog
- Snowplow 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.com
- 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:
- Luis Ceze – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-134.md">PRs welcome!
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.
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- 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/changelog
- Snowplow 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.com
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Featuring:
- Jeff Adams – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Cobalt Speech and Language
- Building Blocks of Speech Technology
- Article: “BYU students, creator of Alexa develop software to preserve Cambodian stories”
- Previous episode with Catherine Breslin (previously with Cobalt)
Something missing or broken? ai-133.md">PRs welcome!
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.”
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Featuring:
- Evan Welbourne – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Video about hunches
- Amazon’s Alexa can now act on its own hunches to turn off lights and more
- What Are Alexa Hunches?
Something missing or broken? ai-132.md">PRs welcome!
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.
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- 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/changelog
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- 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 – Twitter, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- CARMERA
- The Mapping Hierarchy of Needs
- Mapping Change When It Matters Most
- CARMERA and Toyota Demonstrate Further Progress on Urban and Highway Mapping in Japan and the US
- The Mapping Singularity Is Near
Something missing or broken? ai-131.md">PRs welcome!
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.
Changelog++ 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/changelog
- 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.
Featuring:
- Nhung Ho – Twitter, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Intuit Website
- Intuit Blog | Nhung Ho, Director of Data Science
- Intuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis
Something missing or broken? ai-130.md">PRs welcome!
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.
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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/changelog
- 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.
- 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 – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? ai-129.md">PRs welcome!
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!
Changelog++ 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/changelog
- 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.
- 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 – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show 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 Market
Something missing or broken? ai-128.md">PRs welcome!
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.
Changelog++ 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/changelog
- 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.
- 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:
Show Notes:
Books
Something missing or broken? ai-127.md">PRs welcome!
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!
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- 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/changelog
- 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.
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Featuring:
- David Sweet – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Books
-
“Experimentation for Engineers” by David Sweet
- Tuning Up | GitHub
- Manning 40% discount code: podpracticalAI19
Something missing or broken? ai-126.md">PRs welcome!
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!
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Featuring:
- Abe Heifets – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Atomwise
- Atomwise Receives a $2.3M Grant to Develop New Therapies for Drug Resistant Malaria and Tuberculosis
- Atomwise Partners with Global Research Teams to Pursue Broad-Spectrum Treatments Against COVID-19 and Future Coronavirus Outbreaks
- World robotic soccer
- Philadelphia chromosome
- Alphafold
- Canavan disease example:
- 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? ai-125.md">PRs welcome!
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.
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- 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.
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Featuring:
- Roy Schwartz – Twitter, lab-huji.github.io">Website
- Jesse Dodge – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Green AI article in the communications of the ACM
- Training a single AI model can emit as much carbon as five cars in their lifetimes
- Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
- Parameter-Efficient Transfer Learning for NLP
- Reproducibility at EMNLP 2020
Something missing or broken? ai-124.md">PRs welcome!
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!
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- 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!
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Featuring:
Show Notes:
- Follow up content from Rajiv Shah:
- Lambda Lab’s GPU benchmarks
- Machine Learning in Microsoft Excel
- Deep Learning at the Speed of Light
- MLCommons and MLCube:
- Learning Resources:
Something missing or broken? ai-123.md">PRs welcome!
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. ;-)
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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.
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Featuring:
Show Notes:
Something missing or broken? ai-122.md">PRs welcome!
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.
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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 – LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Gretel | Website
- Gretel | LinkedIn
- Gretel | Twitter
- Gretel | Slack
- Gretel Synthetics | GitHub
- Gretel Blueprints | GitHub
- Gretel | Improving massively imbalanced datasets in machine learning with synthetic data
- Gretel | Deep dive on generating synthetic data for Healthcare
Something missing or broken? ai-121.md">PRs welcome!
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