Performance of Publicly Available Large Language Models on Internal Medicine Board-style Questions

Ongoing research attempts to benchmark large language models (LLM) against physicians’ fund of knowledge by assessing LLM performance on medical examinations. No prior study has assessed LLM performance on internal medicine (IM) board examination questions. Limited data exists on how knowledge suppl...

Celý popis

Podrobná bibliografia

Vydané v:	PLOS digital health Ročník 3; číslo 9; s. e0000604
Hlavní autori:	Tarabanis, Constantine, Zahid, Sohail, Mamalis, Marios, Zhang, Kevin, Kalampokis, Evangelos, Jankelson, Lior
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 01.09.2024
Predmet:	Accuracy Application programming interface Artificial intelligence Benchmarks Biology and Life Sciences Chatbots Infectious diseases Internal medicine Large language models Medicine Medicine and Health Sciences Multiple choice People and Places Social Sciences Standardized tests
ISSN:	2767-3170, 2767-3170
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!