大模型智能体:概念、前沿和产业实践  

Large-Model-Based Agents:Concepts,Frontiers and Industrial Practices

作　　者：周涛[1,2] 李鑫 周俊临 李奕[2] ZHOU Tao;LI Xin;ZHOU Jun-lin;LI Yi(University of Electronic Science and Technology of China,Chengdu 611731 China;Chengdu Union Big Data Tech.Inc.,Chengdu 610041 China)

机构地区：[1]电子科技大学,成都611731 [2]成都数之联科技股份有限公司,成都610041

出　　处：《电子科技大学学报（社科版）》2024年第4期57-62,共6页Journal of University of Electronic Science and Technology of China(Social Sciences Edition)

摘　　要：从符号型和反应型智能体到基于强化学习和迁移学习的智能体,再到当前基于大模型的智能体,AI智能体经历了三代发展,逐渐成为人工智能研究和应用的核心。其中基于大模型的智能体是能够更准确地感知环境、进行反应和判断、形成并执行决策的智能计算实体,在多个领域展现出广泛的应用前景,包括图像生成、视频生成、数据分析、图文修改辅助、谈判指导、教育教学、学术研究、生活助手、网站开发等。OpenAI、Google、Apple、NVIDIA等国外厂商,以及腾讯、百度、商汤、联想、讯飞等国内厂家,都在大模型智能体领域进行了积极的探索与实践,推出了各自的大模型智能体产品,涵盖了游戏、生活、线上助手、营销、教育等多个领域。本文将回顾AI智能体的定义与发展,着重介绍大模型智能体的概念和发展前沿,以及大模型智能体在产业实践方面的代表性成果,为有志于大模型智能体研究和开发的读者提供参考。From symbolic and reactive agents to reinforcement learning and transfer learning-based agents,and then to the current large-model-based agents,AI agents have evolved through three generations,gradually becoming the core of AI research and applications.Among them,agents based on large models are intelligent computational entities capable of more accurately perceiving the environment,reacting and making judgments,forming,and executing decisions.The wide range of application prospect has been demonstrated in various fields including image generation,video generation,data analysis,graphic image editing assistance,negotiation guidance,educational instruction,academic research,life assistant services,website development,etc.Foreign companies such as OpenAI,Google,Apple,and NVIDIA,as well as domestic companies like Tencent,Baidu,SenseTime,Lenovo,and iFlytek,have actively explored and practiced in the field of large-model-based agents,launching their respective large-model-based agent products that cover various fields such as games,daily life,online assistants,marketing,and education.This paper reviews the definition and development of AI agents while focusing on the concept and development frontiers of large-model-based agents as well as their representative achievements in industrial practice.It aims to provide reference for readers who aspire to engage in research and development of large-model-based agents.

关 键 词：人工智能 大模型 AI智能体 大模型智能体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]