Agentic Large Language Models

LLM Other LLM Agent Multi-agent Collaboration Autonomous Workflows
大语言模型(LLMs)已席卷全球。它们能够以人类自身的语言与我们交流,并对现实世界进行推理,因而迅速成为写作、答疑以及诸多其他任务的首选工具。其生成的回答已切实影响着我们的决策与行为。倘若大语言模型本身能够直接在现实世界中采取行动,情况会如何?倘若大语言模型之间能够相互交互,又会发生什么?具备“智能体”(agentic)能力的大语言模型,正是将大语言模型的强大能力与其在真实世界中自主行动的能力相结合的产物。本书将系统探讨:这类智能体型大语言模型的工作原理、其具体行动方式、彼此间的交互机制,以及这一切对我们用户而言意味着什么。
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.
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