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用LangSmith Engine和Context Hub让智能体真正学习

"Most agents don't learn, they just leave traces." In 12 minutes, @jakebroekhuizen breaks down how ...

精选理由

想知道怎么让智能体不反复犯同样的错?看LangChain这12分钟视频,教你用LangSmith Engine和Context Hub实现跨运行学习。

AI 摘要

Jake Broekhuizen在12分钟视频中演示如何让智能体通过记忆更新来改进表现。他介绍使用LangSmith Engine发现运行问题,并将记忆写入Context Hub。这种方法能让智能体在多次运行之间持续优化,而非仅留下痕迹。适合需要在大规模部署中管理智能体记忆的开发者。

原文 · LangChain

"Most agents don't learn, they just leave traces." In 12 minutes, @jakebroekhuizen breaks down how ...

"Most agents don't learn, they just leave traces." In 12 minutes, @jakebroekhuizen breaks down how to actually close the loop. Surface issues with LangSmith Engine Write memory updates back to Context Hub Let the agent actually improve between runs If you're thinking about how your agent should handle memory at scale, give this a watch. Your browser does not support the video tag. 🔗 View on Twitter Jake Broekhuizen @jakebroekhuizen x.com/i/article/2069… 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 1 👀 1084 ⚡

用LangSmith Engine和Context Hub让智能体真正学习 · AI 热点