赋予初学者在生物信息学与ChatGPT。

Pub Date : 2023-06-01 DOI:10.15302/j-qb-023-0327

Evelyn Shue, Li Liu, Bingxin Li, Zifeng Feng, Xin Li, Gangqing Hu

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引用次数: 0

摘要

ChatGPT令人印象深刻的会话和编程能力使其成为促进初学者生物信息学数据分析教育的有吸引力的工具。在这项研究中，我们提出了一个迭代模型来微调指令，以指导聊天机器人为生物信息学数据分析任务生成代码。我们通过将该模型应用于各种生物信息学主题来证明该模型的可行性。此外，我们还讨论了在聊天机器人辅助生物信息学教育中使用该模型的实际考虑和限制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Empowering beginners in bioinformatics with ChatGPT.

The impressive conversational and programming abilities of ChatGPT make it an attractive tool for facilitating the education of bioinformatics data analysis for beginners. In this study, we proposed an iterative model to fine-tune instructions for guiding a chatbot in generating code for bioinformatics data analysis tasks. We demonstrated the feasibility of the model by applying it to various bioinformatics topics. Additionally, we discussed practical considerations and limitations regarding the use of the model in chatbot-aided bioinformatics education.

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