Benchmark Review Battlecards
Respond to common objections that weaken AI benchmark validity.
The public leaderboard already proves the model is best. Use it for shortlisting, not launch. The local benchmark must map your task, data, risks, and thresholds. Principle: Map before Measure. Ten great examples should be enough for the exec decision. Keep them for the demo. Use a balanced or stratified sample for the decision gate. Principle: demos are not decision evidence. Development set vs hidden holdout Development set: tune prompts, inspect errors, iterate quickly. Hidden holdout: preserve an unbiased launch gate. Do not optimize directly on the score you plan to trust. The new score is higher, so we should…
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