Verified75% confidenceSolutionExact time
Evaluation 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.
3
Sources
75%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
生产级AI Agent迁移GPT-5.6实战：提速2.2倍、降本27%的工程经验
Related Claims
UnverifiedA regression evaluation set (Eval Set) typically contains representative input cases, the corresponding expected tool call sequences (golden traces), and acceptable output ranges.79% similarUnverifiedA golden set refers to a collection of test cases that have been manually confirmed and carry authoritative labels; it is the "ruler" of the evaluation pipeline, used to measure the absolute quality of the system under test and to calibrate reviewer models.75% similarUnverifiedBuilding high-quality business Evals requires domain experts to design test sets, establish human-annotated golden sets, and track model iteration effects through continuous A/B comparisons75% similarUnverifiedHigh-quality real data generated by professionals with turn-level annotations remains the gold standard for calibrating evaluation systems.73% similar
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