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Updated: Jun 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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医学学生的放射学考试中的大型语言模型 (LLMs):性能和后果

Jennifer Gotta1, Quang Anh Le Hong1, Vitali Koch1

  • 1Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt, Frankfurt am Main, Germany.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
|November 4, 2024
PubMed
概括

像ChatGPT这样的大型语言模型 (LLM) 在医学教育中表现有前途,GPT-4在医学学生的放射学考试中获得了88.1%的准确性. 虽然对审查有用,但用户必须意识到潜在的不准确性.

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