现状
计算机科学
背景(考古学)
工程伦理学
强化学习
风险分析(工程)
管理科学
数据科学
人工智能
政治学
工程类
业务
法学
生物
古生物学
作者
Tianyu Wu,Shizhu He,Jingping Liu,Siqi Sun,Kang Liu,Qing‐Long Han,Yang Tang
出处
期刊:IEEE/CAA Journal of Automatica Sinica
[Institute of Electrical and Electronics Engineers]
日期:2023-05-01
卷期号:10 (5): 1122-1136
被引量:417
标识
DOI:10.1109/jas.2023.123618
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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