UsmleGPT:通过多智能体系统开发mcq的人工智能应用程序

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zhehan Jiang , Shicong Feng
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引用次数: 0

摘要

UsmleGPT是一种基于python的应用程序,由趋势多代理系统(MAS)驱动,该系统利用了来自众多大型语言模型(llm)的集体智能,旨在增强llm生成的内容,为USMLE第1步场景量身定制。MAS与NBME的框架保持一致,结合先进的提示策略来指导每个LLM完成各自的任务和专业。这使得UsmleGPT在自动化项目生成方面超越了传统的实践。除了原始脚本,一个免费访问的,用户友好的网站补充了这个工具,促进了它的采用。UsmleGPT代表了医学教育的突破,改变了医学考试的准备,并为高风险的医学评估设定了新的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UsmleGPT: An AI application for developing MCQs via multi-agent system
Driven by the trending multi-agent system (MAS) that harnesses collective intelligence from numerous large language models (LLMs), UsmleGPT is a Python-based application designed to enhance LLM-generated content tailored for the USMLE Step 1 scenario. The MAS aligns with the NBME’s framework, incorporating advanced prompt strategies to guide each LLM through their respective tasks and specialties. This enables UsmleGPT to surpass conventional practices in automating item generation. Beyond the original script, a freely accessible, user-friendly website complements the tool, facilitating its adoption. UsmleGPT represents a breakthrough in medical education, transforming medical exam preparation and setting new standards for high-stakes medical assessments.
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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
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