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大型语言模型的比较性能分析:ChatGPT-3.5,ChatGPT-4和谷歌双子在葡萄糖皮质激素诱导的骨质疏松症中

Linjian Tong¹, Chaoyang Zhang², Rui Liu¹

¹Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China.

Journal of orthopaedic surgery and research

|September 17, 2024

概括

大型语言模型 (LLM) 在医学上表现有前途. 聊天GPT-4在回答有关葡萄糖皮质激素诱导骨质疏松症 (GIOP) 和指导方针的问题方面表现出色,而谷歌双子提供了更简洁的答案.

科学领域:

人工智能在医学中的应用
医疗保健的自然语言处理.
医疗信息综合医学信息综合

背景情况:

大型语言模型 (LLM) 可以增强医疗信息管理,患者护理,研究和临床决策.
评估LLM的表现对于其有效地融入临床实践至关重要.

研究的目的:

为了比较ChatGPT-3.5,ChatGPT-4和Google Gemini在回答有关葡萄糖皮质醇诱导骨质疏松症 (GIOP) 的问题上的表现.
根据专家医生评级,评估LLM答案的准确性和简洁性.

主要方法:

产生了34个一般GIOP问题和25个基于2022年美国风湿病学会 (ACR) GIOP指南的问题.
提交问题给ChatGPT-3.5,ChatGPT-4和谷歌双子座.
三位整形外科医生使用1-4点的等级对LLM反应进行了评分;分数>9是"好",6-9"中等",<6"差".

主要成果:

谷歌Gemini为一般GIOP和2022年ACR-GIOP指南问题提供了更简洁的答案.
在病原问题上,ChatGPT-4获得的总分数 (TS) 比ChatGPT-3.5高得多.
聊天GPT-4的2022年ACR-GIOP指南问题的TS超越了谷歌双子座的;聊天GPT-3.5和聊天GPT-4展示了卓越的自我纠正能力.

结论:

谷歌Gemini提供简洁,直观的答案,而ChatGPT-4在回答GIOP和指南特定问题方面表现出卓越的表现.
与谷歌双子相比,ChatGPT-3.5和ChatGPT-4表现出更好的自我纠正能力.

关键词:

在这里,我们可以看到AIAIAI.聊天GPT 聊天在GPT 聊天葡萄糖皮质醇诱导的骨质疏松症谷歌的双子座是双子座.大型语言模型.

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