4min chapter

MLOps Weekly Podcast cover image

MLOps Week 9: LinkedIn's Feature Store & MLOps Workflows with David Stein

MLOps Weekly Podcast

CHAPTER

Feather's API for Feature Sharing

A lot of the hard parts of MLOps nowadays, I think is API problems. How do you design an API that actually works? Obviously it's not easy, but I feel like that part is just more understood. There's no perfect API. You can get a team of smart engineers or ML Ops people and you can kind of build anything. But deciding what the right abstraction is, coming up with the right API comes with constant benefits.

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