新闻
The rise of "context engineering"
LangChain · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Context engineering, building dynamic systems to deliver the right information and tools in proper format to LLMs, is becoming the critical skill for AI engineers building agent systems.
- 为何重要
- Engineers developing LLM agents should focus on context engineering when their systems fail unreliably, as most failures stem from missing or poorly formatted context rather than model limitations.
- 注意
- Context engineering is distinct from but overlaps with prompt engineering; it requires controlling exactly what data and tools reach the LLM, which some agent frameworks restrict through abstraction.
收听本摘要
- llm
- context engineering
这条新闻背后的模式
- Agentic Context Engineering (Evolving Playbook)
- Context Engineering Frameworks
- Eval-Driven Development (Agent CI)
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。