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Evo 2 is a powerful LLM trained on 93 trillion DNA base pairs, featuring a single-nucleotide resolution with a million-token context window. It accurately predicts the functional impacts of genetic variations, autonomously learns diverse biological features, and generates highly natural and coherent genomic sequences, offering a revolutionary tool for exploring and designing biological complexity.