Kıyak Yavuz Selim
Department of Medical Education and Informatics, Faculty of Medicine, Gazi University, Gazi Üniversitesi Hastanesi E Blok 9. Kat, 06500 Beşevler, Ankara, Turkey.
Med Sci Educ. 2024 Aug 17;34(6):1571-1576. doi: 10.1007/s40670-024-02146-1. eCollection 2024 Dec.
The integration of artificial intelligence (AI) chatbots, especially large language models (LLMs), holds significant potential for medical education. This article provides ten tips to help medical educators who have limited experience using LLM-based chatbots to support their teaching and assessment practices. These tips cover critical areas such as selecting appropriate models, employing prompt engineering techniques, and optimizing chatbot outputs to meet educational needs. By following these tips, medical educators can leverage the capabilities of AI chatbots to improve the learning experience of students.
人工智能(AI)聊天机器人,尤其是大语言模型(LLMs)的整合,在医学教育方面具有巨大潜力。本文提供了十条建议,以帮助那些在使用基于大语言模型的聊天机器人来支持其教学和评估实践方面经验有限的医学教育工作者。这些建议涵盖了关键领域,如选择合适的模型、运用提示工程技术以及优化聊天机器人的输出以满足教育需求。通过遵循这些建议,医学教育工作者可以利用人工智能聊天机器人的能力来改善学生的学习体验。