智能体
developer.nvidia.com ·
@Patrick Moorhead
用 NVIDIA NeMo 将 Agent 失败转化为测试与 harness 修复
NVIDIA 开发者博客介绍如何把 Agent 的生产环境失败证据转化为按优先级排序的问题和自定义评测，用于改进提示词、工具、模型、记忆、技能及 harness 代码；文章指出通用基准分数往往无法解释领域 Agent 的具体失败原因。
AI推荐理由 NVIDIA 开发者博客给出将 Agent 生产失败证据转化为优先级问题与自定义评测的方法，覆盖提示词、工具、模型、记忆、技能和 harness 代码的改进路径，对 Agent 开发与评测有直接参考价值；但正文片段较短，具体实现步骤与效果数据未在输入中展开，需阅读原文验证。
78
正文
Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you...
Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you build an agent for your domain, generic benchmark scores may not explain its failures. An agent might choose the wrong tool, follow the wrong workflow branch, miss relevant context, use an unnecessarily expensive model…
Source