整合大型语言模型在生物信息学教育医学生:机遇和挑战
Kai Kang1, Yuqi Yang2, Yijun Wu1
1Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Annals of biomedical engineering
|June 5, 2024
概括
大型语言模型 (LLM) 通过交互式工具和代码支持来增强医学学生的生物信息学教育. 严格的验证对于医学研究和教育中LLM产生的内容至关重要.
科学领域:
- 生物信息学教育教育
- 医学培训 医学培训 医学培训
- 计算生物学 计算生物学
背景情况:
- 大型语言模型 (LLM) 为加强医学学生生物信息学教育提供了新的机会.
- 法律学可以提供交互式学习体验,包括可访问的代码模板和错误故障排除帮助.
- 转录组测序数据处理是LLM在医学研究培训中可以实际应用的关键领域.
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