The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
2020-05-07 · 55 min · episode 373 · 16 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
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Feed author/publisher: Sam Charrington
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CEO of Weights
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The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
Episode description as stored
Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. In our 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.