  Large Language Models (LLMs), such as ChatGPT, have taken the world by storm
and have passed certain forms of the Turing test. However, LLMs are not limited
to human language and 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, multi-purpose
prediction tools able to explain 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.
