[KongchangAI]
Unverified50% confidenceOpinionExact time

Training environments and evaluation benchmarks use the same technical components but for different purposes: a score in training is a reward (the criterion being whether it can make the model stronger), while a score in evaluation is a measurement (the criterion being reliability, validity, and the ability to predict real post-deployment performance).

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50%
Confidence
Long-term
Relevance
10/26/2026
First Seen

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