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Model drift

AI concepts

Degradation in a deployed model’s quality over time as the world (inputs, user behavior, entities) drifts away from its training distribution.

Model drift is distinct from behavioral drift caused by provider version changes: drift here is environmental. Detect with production eval samples; mitigate with retraining, retrieval updates, or RAG freshness.