行业多源确认
黄仁勋解释 Agent Harness：给 LLM 套上外骨骼
精选理由
黄仁勋用"外骨骼"这个比喻讲清了 agent harness 是干嘛的——给 LLM 补上工具调用和记忆，两分钟就能看懂。
黄仁勋在访谈中提出，过去一年 AI 的核心话题是 LLM。他称让 LLM 真正好用的是在其外层加一个"外骨骼"，即 agent harness。这个框架为大模型补上检索知识、工作记忆、调用工具、协作等能力，使其能够解决问题。
原文 · rohanpaul_ai
Agentic harness explained by Jensen Huang.
"AI is intelligence, and it starts with software. In fact, if you look at AI in the last year, we started by talking about large language models, or LLMs.
So, large language models, what made AI useful was putting an exoskeleton around the LLM.
That exoskeleton is what is called an agent harness.
It essentially gives the brain the parts necessary to retrieve knowledge, have working memory, use tools, collaborate, and so on, in order to solve problems."
---- From "DRM News" YouTube channel, (full video link in comment)
