专业智能体——将大语言模型进化为具备人类水平能力的自主专家
Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies
AI总结：
本文提出专业智能体（PAgents）框架，利用大语言模型构建具备人类级专业能力的自主智能体，通过三层架构实现起源、进化与协同，旨在重塑专业服务并推动通用人工智能发展。
摘要：
ChatGPT、PaLM和GPT-4等大语言模型（LLMs）的出现，推动了自然语言处理领域的显著进步，展现出类人的语言流畅性和推理能力。本立场论文引入了专业智能体（PAgents）的概念，这是一个利用LLM能力来创建具有可控、专业化、交互式及专业级能力的自主智能体的应用框架。我们认为，PAgents可以通过持续发展的专业知识重塑专业服务。我们提出的PAgents框架包含一个三层架构，分别用于起源、进化和协同：基础工具层、中间智能体层和顶层协同层。本文旨在激发关于LLMs有前景的现实世界应用的讨论。我们认为，PAgents日益增长的复杂性和集成度可能导致AI系统在复杂领域展现出专业精通，满足关键需求，并有可能实现通用人工智能。
英文摘要：
The advent of large language models (LLMs) such as ChatGPT, PaLM, and GPT-4 has catalyzed remarkable advances in natural language processing, demonstrating human-like language fluency and reasoning capacities. This position paper introduces the concept of Professional Agents (PAgents), an application framework harnessing LLM capabilities to create autonomous agents with controllable, specialized, interactive, and professional-level competencies. We posit that PAgents can reshape professional services through continuously developed expertise. Our proposed PAgents framework entails a tri-layered architecture for genesis, evolution, and synergy: a base tool layer, a middle agent layer, and a top synergy layer. This paper aims to spur discourse on promising real-world applications of LLMs. We argue the increasing sophistication and integration of PAgents could lead to AI systems exhibiting professional mastery over complex domains, serving critical needs, and potentially achieving artificial general intelligence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
