详细信息

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

作者:Wu, Tianyu[1];He, Shizhu[3,4];Liu, Jingping[2];Sun, Siqi[5];Liu, Kang[3,4];Han, Qing-Long[6];Tang, Yang[1]

机构:[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[3]Chinese Acad Sci, Inst Automat, Lab Cognit & Decis Intelligence Complex Syst, Beijing 100190, Peoples R China;[4]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China;[5]Fudan Univ, Res Inst Intelligent Complex Syst, Shanghai 200437, Peoples R China;[6]Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia

年份:2023

卷号:10

期号:5

起止页码:1122

外文期刊名:IEEE-CAA JOURNAL OF AUTOMATICA SINICA

收录:;EI(收录号:20231914071073);WOS:【SCI-EXPANDED(收录号:WOS:000981914800002)】;

基金:This work was supported by National Key Research and Development Program of China (2021YFB1714300), National Natural Science Foundation of China (62293502, 61831022, 61976211) and Youth Innovation Promotion Association CAS.

语种:英文

外文关键词:Three-dimensional displays; Web and internet services; Reinforcement learning; Chatbots; Robot sensing systems; Transformers; History; AIGC; ChatGPT; GPT-3; GPT-4; human feedback; large language models

摘要:ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI, has attracted world-wide attention for its capability of dealing with challenging language understanding and generation tasks in the form of conversations. This paper briefly provides an overview on the history, status quo and potential future development of ChatGPT, helping to provide an entry point to think about ChatGPT. Specifically, from the limited open-accessed resources, we conclude the core techniques of ChatGPT, mainly including large-scale language models, in-context learning, reinforcement learning from human feedback and the key technical steps for developing Chat-GPT. We further analyze the pros and cons of ChatGPT and we rethink the duality of ChatGPT in various fields. Although it has been widely acknowledged that ChatGPT brings plenty of opportunities for various fields, mankind should still treat and use ChatGPT properly to avoid the potential threat, e.g., academic integrity and safety challenge. Finally, we discuss several open problems as the potential development of ChatGPT.

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