Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
MLOps is alive and well
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:
Something missing or broken? 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