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植物生物学中的大型语言模型。

Large language models in plant biology.

机构信息

School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.

School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.

出版信息

Trends Plant Sci. 2024 Oct;29(10):1145-1155. doi: 10.1016/j.tplants.2024.04.013. Epub 2024 May 26.

Abstract

Large language models (LLMs), such as ChatGPT, have taken the world by storm. However, LLMs are not limited to human language and can be used to analyze sequential data, such as DNA, protein, and gene expression. The resulting foundation models can be repurposed to identify the complex patterns within the data, resulting in powerful, multipurpose prediction tools able to predict the state of cellular systems. This review outlines the different types of LLMs and showcases their recent uses in biology. Since LLMs have not yet been embraced by the plant community, we also cover how these models can be deployed for the plant kingdom.

摘要

大型语言模型(LLMs),如 ChatGPT,已经风靡全球。然而,LLMs 不仅限于人类语言,还可以用于分析序列数据,如 DNA、蛋白质和基因表达。由此产生的基础模型可以被重新用于识别数据中的复杂模式,从而产生强大的、多用途的预测工具,能够预测细胞系统的状态。本综述概述了不同类型的 LLM,并展示了它们在生物学中的最新用途。由于 LLM 尚未被植物界所接受,我们还介绍了如何将这些模型应用于植物王国。

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