Practical AI: Machine Learning, Data Science, LLM cover image

Practical AI: Machine Learning, Data Science, LLM

Latest episodes

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Mar 29, 2022 • 41min

It's been a BIG week in AI news 🗞

This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode! Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:BigScience Language Model Training Model Details Live model logs and training curves H100 from NVIDIA [White paper](https://www.nvidia.com/en-us/data-center/h100/ https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf) Omniverse platform Earth-2 Supercomputer Stanford’s AI Index 2022 Something missing or broken? PRs welcome!
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4 snips
Mar 23, 2022 • 41min

"Foundation" models

The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportunities and Risks of Foundation Models. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report. Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Report: “On the Opportunities and Risks of Foundation Models” Follow up Blog post: “Reflections on Foundation Models” Something missing or broken? PRs welcome!
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Mar 16, 2022 • 46min

Clothing AI in a data fabric

What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Learning Resources Go.Dev - a great programming language for data fabric development Books “Python Data Science Handbook” by Jake VanderPlas Something missing or broken? PRs welcome!
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Mar 8, 2022 • 52min

Creating a culture of innovation

Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers. Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Lukas Egger – Website, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: 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? PRs welcome!
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Mar 1, 2022 • 51min

Deploying models (to tractors 🚜)

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Alon Klein Orback – XMoses Guttmann – Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Greeneye Greeneye Blog ClearML Something missing or broken? PRs welcome!
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Feb 15, 2022 • 45min

One algorithm to rule them all?

From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research. Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow 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 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? PRs welcome!
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Feb 9, 2022 • 44min

🌍 AI in Africa - Voice & language tools

In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa. Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Kathleen Siminyu – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XJoyce Nabende – XShow Notes: “Introducing myself” from Kathleen Masakhane Common Voice Open for Good Alliance Something missing or broken? PRs welcome!
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Feb 1, 2022 • 41min

Exploring deep reinforcement learning

In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist. Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Thomas Simonini – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XNatalie Pistunovich – GitHub, XShow Notes: Thomas Simonini | Hugging Face Deep Reinforcement Learning course Something missing or broken? PRs welcome!
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Jan 25, 2022 • 43min

The world needs an AI superhero

From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa. Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Bonaventure Dossou – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XNatalie Pistunovich – GitHub, XShow Notes: Bonaventure Dossou | Instagram 2020 — ongoing: My Year of Fame and how I joined the world of Research Something missing or broken? PRs welcome!
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Jan 19, 2022 • 45min

Democratizing ML for speech

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

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