为 Agent 建立或改进评估体系时使用——设计评估指标(Pass@k/Pass^k/成本)、搭建可重复运行的评估环境、选择确定性验证器或 LLM-as-a-Judge 及各自适用边界、编写 Rubric、做失败归因与回归任务、评估驱动的模型选型、判断统计显著性、建设可观测性与内部评估基础设施(消融、AB 测试、特性开关、提示词回归)、从 Benchmark 报告走到系统改进。
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tessl scenario generatetessl eval runbojieli/ai-agent-book
dbc046e
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