Grokking the AI System Design Interview
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Online Experiments and A/B Testing

Why Offline Numbers Are Not Enough

A model that wins offline can still lose in production. Interviewers probe whether you know why.

Offline evaluation asks one question: does the new model predict the held-out labels better than the old one? Production asks a different question: does the new model make the business better?

Explain both predictive performance and the effect on the product. An improvement in one does not guarantee an improvement in the other.

There are three reasons the offline number can mislead you.

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