如何使用 NVIDIA NeMo 將智能體失誤轉化為測試及 harness 修正
Use NVIDIA NeMo to Turn Agent Failures into Tests and Harness Fixes
NVIDIA NeMo 可將智能體在生產環境中的失誤轉化為按優先次序排列的問題及自訂評測。這些評測可用於改進提示詞、工具、模型、記憶、技能及 harness 程式碼；通用基準分數未必能解釋智能體為何選錯工具、走錯工作流程分支、漏掉相關上下文或使用成本過高的模型。
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…
來源：NVIDIA Technical Blog：Agentic AI / Generative AI · developer.nvidia.com