Unverified50% confidenceDecision RuleExact time
When evaluating Agents, model versions and sampling parameters should be fixed, and multiple runs should report mean, quantiles, and confidence intervals—reporting a single score alone is not credible.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen evaluating model capabilities, attention should be paid to specific evaluation methods and datasets, with vigilance against the one-sidedness of single metrics and emphasis on independent third-party verification.75% similarUnverifiedUsers can objectively verify whether a model has degraded by building a personal "regression test set"—retaining a fixed set of representative prompts to periodically evaluate model output quality.73% similarUnverified选择和使用不同模型档位时不能仅凭版本号判断，基于真实场景的多轮测试才是评估模型能力的可靠依据73% similarUnverifiedA single Agent producing and validating its own output carries the risk of self-confirmation bias, as the model tends to approve the output it just generated; a Reviewer Agent with an independent context is more likely to find problems.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/931859API
curl https://kongchang.com/api/v1/knowledge/claims/931859MCP
get_claim(id=931859)