Practical AI

Killer developer tools for machine learning

Nov 9, 2020

Lukas Biewald, Founder and CEO of Weights & Biases, shares insights from his journey in machine learning and the developer tools his company is creating. He discusses the challenges of tracking experiments and the need for better tools to manage machine learning workflows. The conversation touches on navigating the complexities between DevOps and Data Ops, and the importance of metrics in model performance. Lukas also emphasizes community engagement and his vision for future advancements in machine learning tooling.

50:41

Creator website

Episode guests

Lukas Biewald

AI Chapters

Episode notes

Intro

3min

Navigating Machine Learning and Election Woes

22min

Navigating Model Performance Metrics in Machine Learning

4min

Navigating the Divide Between DevOps and Data Ops

3min

Navigating Machine Learning Challenges

9min

Empowering AI Development with Git and Tools

7min

Community Engagement and Future Aspirations in Machine Learning

3min

Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.

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Featuring:

Lukas Biewald – Website, GitHub, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Something missing or broken? PRs welcome!

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