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Updated: May 21, 2025

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插件增强聊天GPT的性能及其量化不确定性的能力:对德国医学委员会考试的模拟研究

Julian Madrid1, Philipp Diehl1, Mischa Selig2,3

  • 1Department of Cardiology, Pneumology, Angiology, Acute Geriatrics and Intensive Care, Ortenau Klinikum, Klosterstrasse 18, Lahr, 77933, Germany, 49 7821932403.

JMIR medical education
|March 21, 2025
PubMed
概括

像GPT-4这样的大型语言模型证明了医疗委员会能力,超过了最低门. 虽然它们可以量化响应不确定性,但过度自信仍然是临床AI应用的挑战.

关键词:
聊天GPT 聊天GPT 聊天在 GPT-4 中使用.在法学士 (LLM) 课程中.人工智能的人工智能是人工智能.董事会的许可证考试考试委员会.启动时,我们会使用bootstrapping.信心区间的时间间隔是信任区间.考试 考试 考试 考试一个实验性的实验.生成型的人工智能大型语言模型医学教育 医学教育专业教育专业教育学生 学生 学生 学生

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Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
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