斯科普斯
医学
医学教育
心理学
人工智能
生成语法
梅德林
图书馆学
万维网
政治学
计算机科学
法学
作者
Alex Howard,William Hope,Alessandro Gerada
标识
DOI:10.1016/s1473-3099(23)00113-5
摘要
Generative artificial intelligence (AI) models have proliferated in the past 2 years. ChatGPT—a large language model (LLM) developed by OpenAI (San Francisco, CA)—mimics natural language and solves cognitive problems by reinforcing learning from online resources using human feedback. Despite access to limited medical data, ChatGPT has medical licensing examination performance as an undergraduate third-year medical student, and has, therefore, stimulated urgent discussions within medicine1. Stokel-Walker and van Noorden2 discuss the implications of generative AI for science and describe how ChatGPT “could answer some open-ended medical queries almost as well as the average human physician could, although it still had shortcomings and unreliabilities.”2
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