出版
生成语法
计算机科学
位于
聊天机器人
背景(考古学)
自然语言
人工智能
万维网
政治学
古生物学
法学
生物
作者
Brady Lund,Ting Wang,Nishith Reddy Mannuru,Bing Nie,Somipam R. Shimray,Ziang Wang
摘要
This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on academia and scholarly research and publishing. ChatGPT is seen as a potential model for the automated preparation of essays and other types of scholarly manuscripts. Potential ethical issues that could arise with the emergence of large language models like GPT-3, the underlying technology behind ChatGPT, and its usage by academics and researchers, are discussed and situated within the context of broader advancements in artificial intelligence, machine learning, and natural language processing for research and scholarly publishing.
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