Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.

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Featuring:

• Demetrios Brinkmann – Twitter
• Mihail Eric – Twitter, GitHub, Website
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

MLOps.Community

Something missing or broken? ai-210.md">PRs welcome!

Timestamps:

(00:07) - Welcome to Practical AI(00:43) - Demetrios and Mihail(01:54) - What is the MLOps Community?(05:14) - Chris throws a hand grenade into the convo(09:44) - MLOps vs DevOps when deploying(15:30) - Ops vs experiment tracking(16:43) - Where is MLOps going?(25:57) - Is this even legal??(32:22) - Sponsor: Changelog++(33:21) - Is generative model bloat an issue?(36:35) - MLOps' diverse uses(42:52) - You are not Google(54:07) - Wrap up(56:07) - Outro