跳到正文
arXiv cs.AI· Max van Duijn, Michiel van der Meer, Aske Plaat, Niki van Stein·· 6 天前AI 评分26

Agentic Large Language Models:智能体大语言模型教材

Agentic Large Language Models

AI 导读

一本 472 页的教材《Agentic Large Language Models》在 arXiv 发布,讨论智能体大语言模型如何工作、如何行动、如何相互交互,以及这对用户意味着什么。该书将大语言模型与现实世界行动能力结合,探讨 LLM 直接行动和彼此交互的情形,归入 cs.AI 领域。

正文 · 原文

View PDF HTML (experimental)

Abstract: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.
Comments: 472 pages, textbook
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.13455 [cs.AI]
  (or arXiv:2610.13455v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2610.13455

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Niki Van Stein [view email]
[v1] Fri, 9 Oct 2026 11:57:04 UTC (41,760 KB)

来源:arXiv cs.AI · arxiv.org