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Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course
Cellular and Molecular Bioengineering ( IF 2.8 ) Pub Date : 2024-02-07 , DOI: 10.1007/s12195-024-00793-3
Michael R. King , Adam M. Abdulrahman , Mark I. Petrovic , Patricia L. Poley , Sarah P. Hall , Surat Kulapatana , Zachary E. Lamantia

The remarkable capabilities of generative artificial intelligence and large language models (LLMs) such as ChatGPT have delighted users around the world. Educators have regarded these tools as either a cause for great concern, an opportunity to educate students on cutting-edge technology, or often some combination of the two. Throughout the Fall 2023 semester, we explored the use of ChatGPT (and Bard, among other LLMs) in a graduate level numerical and statistical methods course for PhD-level bioengineers. In this article we share examples of this ChatGPT content, our observations on what worked best in our course, and speculate on how bioengineering students may be best served by this technology in the future.



中文翻译:

将 ChatGPT 和其他大型语言模型纳入研究生水平计算生物工程课程

生成式人工智能和 ChatGPT 等大型语言模型 (LLM) 的卓越功能令世界各地的用户感到高兴。教育工作者认为这些工具要么是引起高度关注的原因,要么是对学生进行尖端技术教育的机会,或者通常是两者的结合。在整个 2023 年秋季学期,我们探索了 ChatGPT(以及 Bard 等法学硕士)在针对博士级生物工程师的研究生级数值和统计方法课程中的使用。在本文中,我们分享了 ChatGPT 内容的示例、我们对课程中最有效的内容的观察,并推测了生物工程专业的学生未来如何最好地利用这项技术。

更新日期:2024-02-08
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