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🤖 Data & AI

MLOps basics

Drift, registries, feature stores, training-serving skew and shipping models safely.

8questions

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Question 1 of 8

What is data drift?

Question 2 of 8

What is a model registry for?

Question 3 of 8

Why version datasets as well as code?

Question 4 of 8

What problem does a feature store solve?

Question 5 of 8

What is training-serving skew?

Question 6 of 8

A/B testing a model means:

Question 7 of 8

In a shadow deployment, the new model:

Question 8 of 8

Why watch latency and cost per request in an LLM app?

0/8 answered

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