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Practical AI: Machine Learning, Data Science, LLM

Latest episodes

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Nov 29, 2023 • 47min

The OpenAI debacle (a retrospective)

Daniel & Chris discuss the OpenAI debacle, including the sacking and subsequent return of CEO Sam Altman. The podcast covers the history of OpenAI, leadership changes, and the controversy surrounding the QStar model. It also explores the impact of these events on the AI industry and the evolving perspectives on artificial general intelligence.
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Nov 21, 2023 • 50min

Generating product imagery at Shopify

Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model). Leave us a commentChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Advent of GenAI Hackathon – Join us for a 7-day journey into the world of Generative AI with the Advent of GenAI Hackathon. Learn more here! Traceroute – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! Featuring:Russ Maschmeyer – Mastodon, Twitter, GitHub, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: Advent of GenAI Hackathon Shopify’s HF Space for background replacement Shopify Magic Something missing or broken? PRs welcome!
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Nov 14, 2023 • 48min

AI trailblazers putting people first

Solana Larsen, a podcast editor and advocate for reclaiming power over AI to put people first, discusses various trailblazers who are prioritizing people in AI development and reclaiming control over the internet from Big Tech. Topics include the need for alternative voices in AI conversations, the impact of regulation on AI safety, transparency in datasets, mistreatment of tech graduates, and the risks of mass experimentation with AI systems.
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Nov 7, 2023 • 45min

Government regulation of AI has arrived

The podcast discusses the recent government regulations on AI, including the executive order on safe and secure AI issued by the US White House. It explores the implications of these regulations for the AI industry and government agencies, as well as the need for international cooperation in ensuring AI safety. The hosts also discuss the strengths and weaknesses of government regulation and its impact on industries utilizing AI-generated content. They highlight the business opportunities in navigating through AI regulation and focus on safety and well-being.
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Oct 31, 2023 • 41min

Self-hosting & scaling models

Tuhin, specializes in model deployment and monitoring at any scale, joins the show to talk about self-hosting open access models. They discuss trends in tooling and usage of open access models, common use cases for integrating self-hosted models, and the influence of generative AI on the ecosystem.
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Oct 24, 2023 • 41min

Deep learning in Rust with Burn 🔥

Nathaniel Simard, creator of burn, joins the podcast to discuss Rust as a deep learning framework. They explore Rust's capabilities, motivations behind using it, challenges in supporting deep learning, working with GPU libraries, importing models & training tools. They discuss the potential of Burn and suggest starting with the burn.dev website for more information.
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Oct 20, 2023 • 48min

AI's impact on developers

Emily Freeman and James Q Quick discuss the impact of AI on developers, including the need to embrace AI and learn its strengths and limitations. They also explore the challenges and benefits of adopting AI in different contexts and delve into the implications of a new technology for controlling website copy. The speakers reflect on the definitions and future of open source, the challenges of proving AI-generated code, and the under-hyped aspects of AI. They emphasize the uncertain future of AI and the need for responsible usage, as well as the potential of AI in addressing coding problems.
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Oct 3, 2023 • 49min

Generative models: exploration to deployment

This episode of the podcast explores the lifecycle of generative AI models, discussing model optimization, serving, and deployment. It also highlights the revolution in microelectronics, the availability of open access models on Hugging Face, and the process of selecting and running a model for deployment. The speakers emphasize the importance of code reuse and provide tips for exploring and deploying generative models.
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Sep 20, 2023 • 43min

Automate all the UIs!

Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision. Leave us a commentChangelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!Sponsors:Statsig – Build faster with confidence. Startups to Fortune 500s rely on Statsig to make data-driven decisions. Ship smarter and faster with the unified platform for feature flags, experimentation, and analytics. Our listeners get free white-glove onboarding, migration support, and 5 million free events per month. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.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:Dominik Klotz – GitHub, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, WebsiteShow Notes: askui.com askui on GitHub askui on LinkedIn askui on Twitter/X Something missing or broken? PRs welcome!
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Sep 6, 2023 • 58min

Fine-tuning vs RAG

Demetrios from the MLOps Community discusses fine-tuning vs retrieval augmented generation, OpenAI Enterprise, MLOps Community LLM survey results, and orchestration and evaluation of generative AI workloads. They also talk about recent events in the MLOps community, the shift towards practical implementations of generative AI, misconceptions in fine-tuning language models, the correlation between OpenAI and startup size, the importance of diverse speakers at conferences, and upcoming events and sponsors.

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