在牙科教育中绘制生成语言模型的景观:聊天GPT和谷歌Bard之间的比较
1Department of Preventive dental sciences, college of dentistry, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
概括
生成式语言模型在牙科教育中显示出前景. 聊天GPT 3.5 在创建练习和模拟方面表现出色,而谷歌巴德在研究检索和批评方面表现更好.
科学领域:
- 教育中的人工智能
- 牙科教育技术 牙科教育技术
背景情况:
- 生成性语言模型 (LLM) 在包括医学和教育在内的各个领域都显示出巨大的潜力.
- 将先进的人工智能工具集成到牙科等专业领域,需要进行彻底的评估.
研究的目的:
- 在牙科教育和研究的背景下,评估和比较ChatGPT 3.5和Google Bard的性能.
- 评估这些大型语言模型 (LLM) 在生成与牙科相关的教育内容,模拟和评估工具方面的能力.
主要方法:
- 设计了七个牙科教育特定的查询来测试ChatGPT 3.5和谷歌Bard.
- 查询涵盖了教育中的角色,练习创建,问题模拟,评估工具开发,文学熟练程度和文章批评.
- 两名盲人审查员使用定义的指标评估了答案,并使用Wilcoxon测试进行了统计分析.
主要成果:
- 在创建全面,准确和相关的牙科练习,模拟和评估工具方面,ChatGPT 3.5表现出卓越的性能.
- 谷歌巴德在检索当前研究和提供对选定的文章的批评方面表现出色.
- 在特定领域的模型得分之间观察到统计学上显著的差异 (p ≤ 0.05).
结论:
- 在牙科教育中,LLM有潜力成为有价值的工具,促进虚拟模拟和批判性分析.
- 绩效的变化凸显了对LLMs基于证据的内容生成的专业培训的需要.
- 建议教育工作者,学生和从业人员在依赖人工智能进行关键的教育或医疗保健决策时要谨慎.
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