评估用于口试场景的新型大语言模型(LLM)聊天机器人

Caitlin Silvestri, Joshua Roshal, Meghal Shah, Warren D. Widmann, Courtney Townsend, Riley Brian, Joseph C. L’Huillier, Sergio M. Navarro, Sarah Lund, Tejas S. Sathe
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摘要

引言 虽然之前的研究已经证明,生成式人工智能(AI)可以通过医学执照考试,但在复杂的交互式评估中,人工智能作为考官的作用仍然未知。人工智能驱动的聊天机器人可以作为模拟口试对话的教育工具。在此,我们介绍了一个人工智能驱动的聊天机器人的初步有效性证据,该聊天机器人专为普外科住院医师准备美国外科学委员会(ABS)认证考试(CE)而设计。
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Evaluation of a Novel Large Language Model (LLM) Powered Chatbot for Oral-Boards Scenarios
Introduction While previous studies have demonstrated that generative artificial intelligence (AI) can pass medical licensing exams, AI’s role as an examiner in complex, interactive assessments remains unknown. AI-powered chatbots could serve as educational tools to simulate oral examination dialogues. Here, we present initial validity evidence for an AI-powered chatbot designed for general surgery residents to prepare for the American Board of Surgery (ABS) Certifying Exam (CE).
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