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GenSLMs

GenSLMs are a LLM, but genome sequence
Take genome sequence Throw transformers at it create “semantic embedding” autoregression happens This is trained as a foundational model to organize the genomic sequence
Turns out, the embedding space above can be used to discover relations. See proteins can be encoded as hierarchies

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