期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Enhancing Orthopedic Knowledge Assessments:The Performance of Specialized Generative Language Model Optimization
1
作者 Hong ZHOU Hong-lin WANG +11 位作者 Yu-yu DUAN zi-neng yan Rui LUO Xiang-xin LV Yi XIE Jia-yao ZHANG Jia-ming yanG Ming-di XUE Ying FANG Lin LU Peng-ran LIU Zhe-wei YE 《Current Medical Science》 SCIE CAS 2024年第5期1001-1005,共5页
Objective This study aimed to evaluate and compare the effectiveness of knowledge base-optimized and unoptimized large language models(LLMs)in the field of orthopedics to explore optimization strategies for the applic... Objective This study aimed to evaluate and compare the effectiveness of knowledge base-optimized and unoptimized large language models(LLMs)in the field of orthopedics to explore optimization strategies for the application of LLMs in specific fields.Methods This research constructed a specialized knowledge base using clinical guidelines from the American Academy of Orthopaedic Surgeons(AAOS)and authoritative orthopedic publications.A total of 30 orthopedic-related questions covering aspects such as anatomical knowledge,disease diagnosis,fracture classification,treatment options,and surgical techniques were input into both the knowledge base-optimized and unoptimized versions of the GPT-4,ChatGLM,and Spark LLM,with their generated responses recorded.The overall quality,accuracy,and comprehensiveness of these responses were evaluated by 3 experienced orthopedic surgeons.Results Compared with their unoptimized LLMs,the optimized version of GPT-4 showed improvements of 15.3%in overall quality,12.5%in accuracy,and 12.8%in comprehensiveness;ChatGLM showed improvements of 24.8%,16.1%,and 19.6%,respectively;and Spark LLM showed improvements of 6.5%,14.5%,and 24.7%,respectively.Conclusion The optimization of knowledge bases significantly enhances the quality,accuracy,and comprehensiveness of the responses provided by the 3 models in the orthopedic field.Therefore,knowledge base optimization is an effective method for improving the performance of LLMs in specific fields. 展开更多
关键词 artificial intelligence large language models generative articial intelligence ORTHOPEDICS
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部