Unverified50% confidenceFactExact time
A regression evaluation set (Eval Set) typically contains representative input cases, the corresponding expected tool call sequences (golden traces), and acceptable output ranges.
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10/2/2026
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UnverifiedEvaluation set construction follows the "golden dataset" principle: sampling from real production traffic to cover high-frequency scenarios, edge cases, and known failure cases, with human-annotated expected outputs as the benchmark.79% similarUnverifiedA Golden Eval Set is a collection of test samples pre-labeled with correct answers, used to measure AI output quality and to run regression tests after model upgrades or prompt modifications in order to detect performance degradation.72% similarUnverifiedA complete Evals system typically includes defining an evaluation dataset, designing scoring criteria (another LLM can be used as a judge for automated scoring), and continuously tracking changes in key metrics across version iterations.70% similarUnverifiedThe evaluation stage requires preparing a Golden Set (standard Q&A collection) covering typical scenarios in advance, running scores on both old and new rules separately for comparison, in order to prevent rule inflation.68% similar
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