The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald

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About this Episode

Today we're joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new Artifacts tool. You might remember Lukas from his original interview with us towards the end of last year, for more background on Lukas and W&B we encourage you to check out that interview. In this conversation, we explore Artifacts' place in the broader machine learning tooling ecosystem through the lens of our eBook "The definitive guide to ML Platforms" and how it fits with the W&B model management platform. We discuss also discuss what exactly "Artifacts" are, what the tool is tracking, and take a look at the onboarding process for users. We want to send a huge shoutout to Weights and Biases for sponsoring today's show. Weights & Biases is a great lightweight toolkit for machine learning practitioners. We've used it for a quite while in the TWIML community as part of our various study groups, and folks have generally found the Weights & Biases tool to be super helpful for experiment tracking and collaboration. Now that they're offering dataset versioning and model management capabilities, you've got a one-stop-shop for managing and visualizing your complete ML pipeline. If you'd like to learn more, Weights & Biases is extending a special offer to TWIML listeners (and viewers), including unlimited private projects and priority support. For more details or to start tracking your models visit
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Thanks to our sponsor Weights & Biases

Weights & Biases is the leading developer-first MLOps platform to build better models faster. Used by top researchers including teams at Qualcomm, NVIDIA, OpenAI, Lyft, Pfizer, Toyota, Github, and MILA, W&B is part of the new standard of best practices for machine learning.
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