- In short
- Diagnosing a stale or unrepresentative eval suite means recognising that an eval suite can look healthy, with every check passing, while it measures a system that no longer matches production behaviour. Two independent failure modes cause this: an unrepresentative dataset composition that never covered the real input distribution, and a stale dataset that was never refreshed after a prompt or model change and still validates the old expected outputs. An out-of-date suite is more dangerous than no suite because it creates false confidence that a change is safe.
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