model drift

AI Model Drift: How to Keep Models Reliablehoneycomb.io

Honeycomb’s guide explains the four main kinds of AI model drift (data, concept, upstream, and prompt/embedding/output), why drift is hard to spot in LLM‑based systems, and how to set up baselines and observability signals (distribution stats, evaluation scores, user feedback, retry rates, etc.) to catch it early.