From Static to Dynamic Skills: A Different Model for Agent Knowledge
中文摘要
本文探讨将智能体技能从静态文件转为动态构建产物，通过重塑知识模型应对技能通胀问题，提升AI代理的效能。
English Summary
This article proposes shifting AI agent skills from static files to dynamic build artifacts, addressing skill inflation by redefining how agent knowledge is modeled and integrated.
原文节选
Why the skill-inflation panic is aimed at the wrong thing, and what it costs to make agent knowledge a build artifact instead of a file. The post From Static to Dynamic Skills: A Different Model for Agent Knowledge appeared first on Towards Data Science.