[KongchangAI]
Verified75% confidenceTradeoffExact time

LLM evaluation requires finding a balance between tests that are too loose (letting real issues pass) and tests that are too strict (generating large numbers of false positives), and thresholds often need to be calibrated through experimentation.

3
Sources
75%
Confidence
Long-term
Relevance
8/8/2026
First Seen

Sources

从生产事故到评估用例:LLM回归测试的实战方法论

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https://kongchang.com/claim/709151
API
curl https://kongchang.com/api/v1/knowledge/claims/709151
MCP
get_claim(id=709151)