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ChatGPT、GPT-4 和其他大型语言模型:临床微生物学的下一次革命?

ChatGPT, GPT-4, and Other Large Language Models: The Next Revolution for Clinical Microbiology?

机构信息

Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.

出版信息

Clin Infect Dis. 2023 Nov 11;77(9):1322-1328. doi: 10.1093/cid/ciad407.

Abstract

ChatGPT, GPT-4, and Bard are highly advanced natural language process-based computer programs (chatbots) that simulate and process human conversation in written or spoken form. Recently released by the company OpenAI, ChatGPT was trained on billions of unknown text elements (tokens) and rapidly gained wide attention for its ability to respond to questions in an articulate manner across a wide range of knowledge domains. These potentially disruptive large language model (LLM) technologies have a broad range of conceivable applications in medicine and medical microbiology. In this opinion article, I describe how chatbot technologies work and discuss the strengths and weaknesses of ChatGPT, GPT-4, and other LLMs for applications in the routine diagnostic laboratory, focusing on various use cases for the pre- to post-analytical process.

摘要

ChatGPT、GPT-4 和 Bard 是高度先进的基于自然语言处理的计算机程序(聊天机器人),能够模拟和处理书面或口头形式的人类对话。这些聊天机器人最近由 OpenAI 公司发布,它们在数十亿个未知的文本元素(标记)上进行训练,并因其在广泛的知识领域内以清晰的方式回答问题的能力而迅速引起广泛关注。这些潜在的颠覆性大型语言模型(LLM)技术在医学和医学微生物学中有广泛的应用。在这篇观点文章中,我描述了聊天机器人技术的工作原理,并讨论了 ChatGPT、GPT-4 和其他 LLM 应用于常规诊断实验室的优缺点,重点讨论了分析前到分析后的各个用例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea71/10640689/89b85752a820/ciad407f1.jpg

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