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nabinno id:nabinno

language-modelとusmleに関するnabinnoのブックマーク (3)

Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models
Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models Tiffany H. Kung, Morgan Cheatham, ChatGPT, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, Victor Tseng
nabinno 2023/01/25
medrxiv

chatgpt

gpt-3

language-model

usmle

healthcare-industry
リンク
https://twitter.com/AziziShekoofeh/status/1607798892892164096?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1607798892892164096%7Ctwgr%5E7ee2642ff7ba012dc57b5f78bfbb9c927cc61d39%7Ctwcon%5Es1_&ref_url=https%3A%2F%2Finterestingengineering.com%2Finnovation%2Fgoogle-deepmind-medpalm-language-model
nabinno 2023/01/25
x

shek-azizi

google-research

deepmind

med-palm

language-model

usmle

healthcare-industry
リンク
Large Language Models Encode Clinical Knowledge
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically rely on automated evaluations on limited benchmarks. There is no standard to evaluate model predictions and reasoning across a breadth of tasks. To a
nabinno 2023/01/25
arxiv

deepmind

med-palm

language-model

usmle

healthcare-industry
リンク
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