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上下文工程:正确的300个token胜过10万个嘈杂token

原标题:Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering

InfoQ AI ML and Data Engineering观点质量 72

AI 摘要

在InfoQ的演讲中,Baruch Sadogursky和Patrick Debois讨论了上下文工程,指出向LLM发送过多上下文(如大型CLAUDE.md文件)会导致性能下降和错误。他们提出使用技能(skills)进行懒加载,仅在需要时注入相关上下文,以优化token使用。演讲强调了上下文工程与提示工程的区别,并展示了如何通过技能描述触发上下文加载。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Transcript Baruch Sadogursky: I want to show you something. I had CLAUDE.md, which I fed everything there is to know about my project. It has code samples. It has all the documentation. It has best practices. It has everything there is. Now, all I want to do is add error handling to one of my endpoints. I gave it a lot of context, it should probably manage. Let's see what's happening. Patrick Debois: I think it's easy right now. Baruch Sadogursky: Should be easy. It's a small project, and I gave


发布时间:2026-08-14 19:00
抓取时间:2026-08-14 19:45
来源机构:InfoQ
阅读原文infoq.com