对于生物医学工程和研究而言,需要一个域特定的下一代大型语言模型 (LLM) 或ChatGPT
Soumen Pal1, Manojit Bhattacharya2, Sang-Soo Lee3
1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Annals of biomedical engineering
|July 10, 2023
概括
像ChatGPT这样的大型语言模型在生物医学领域显示出希望,但往往提供不准确或过时的信息. 需要一个专门的生物医学聊天机器人提供无错误的,最新的数据,以推进研究和创新.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 像ChatGPT这样的大型语言模型 (LLM) 在生物医学研究和临床实践中越来越多地被使用.
- 尽管存在广泛的兴趣,但当前的LLM存在局限性,包括不准确和过时的信息,阻碍了可靠的应用.
- 人工智能工具日益依赖,需要对其适用于敏感生物医学领域的适用性进行批判性评估.
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