新闻
What Is Eval-Driven Development? How to Improve AI Agents
LangChain · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- LangChain describes eval-driven development, a methodology for building AI agents by defining success metrics upfront and iteratively comparing experimental changes against consistent benchmarks.
- 为何重要
- Engineers building AI agents need this when manual testing becomes unreliable due to non-deterministic outputs and multiple valid answers, especially as agent complexity grows.
- 注意
- Overfitting to evaluation datasets is a real risk; teams must maintain held-out test examples separate from tuning examples to verify genuine behavior improvement.
- agent
- eval
这条新闻背后的模式
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- 12-Factor Agent Methodology
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
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