How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that can generate conversation-style responses to user input. This study aimed to evaluate the performance of ChatGPT on questions within the scope of the United States Medical Licensing Ex...

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Veröffentlicht in:	JMIR medical education Jg. 9; S. e45312
Hauptverfasser:	Gilson, Aidan, Safranek, Conrad W, Huang, Thomas, Socrates, Vimig, Chi, Ling, Taylor, Richard Andrew, Chartash, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada JMIR Publications 08.02.2023
Schlagworte:	Application programming interface Chatbots Cognition & reasoning Consumer health information Datasets Knowledge Language Large language models Licensing examinations Medical education Multiple choice Original Paper Software United States > US chatbot medical education natural language processing GPT machine learning artificial intelligence conversational agent MedQA NLP education technology ChatGPT generative pre-trained transformer USMLE
ISSN:	2369-3762, 2369-3762
Online-Zugang:	Volltext
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