ArXiv 上线新书《Agentic Large Language Models》讲解智能体原理
Agentic Large Language Models
一本讲智能体 LLM 怎么行动、怎么互相协作的新书，免费放在 arXiv 上，想系统了解 Agent 原理可以翻翻。
ArXiv 发布新书《Agentic Large Language Models》（编号 2610.13455v1），聚焦能够直接在真实世界中行动的 LLM。全书围绕三个核心问题展开：智能体 LLM 如何工作、如何行动、以及多个 LLM 之间如何相互交互。书中还讨论了当 LLM 的回答开始影响人类决策后，如果模型能直接执行动作，对使用者意味着什么。
Agentic Large Language Models
Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has made them a favorite tool for writing, answering questions, and much more. Their answers already influence our decisions and our actions. What would happen if LLMs themselves could act in the world directly? What would happen if LLMs could interact with each other? Agentic LLMs combine the power of large language models with the ability to act in the real world. In this book we will discuss how agentic LLMs work, how they act, how they interact, and what this means for us, as users.
