新闻
Improving Deep Agents with harness engineering
LangChain · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- LangChain improved a coding agent from rank 30 to rank 5 on Terminal Bench 2.0 by redesigning the harness around the same model.
- 为何重要
- Engineers building autonomous agents should care when optimizing task performance without changing the underlying model or when debugging agent failures at scale.
- 注意
- The improvements required careful harness tuning specific to the benchmark environment and may not generalize equally across different models or task domains.
- agent
这条新闻背后的模式
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
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。