An eleven-slide breakdown of Nucleotide Transformer v3: how a U-Net backbone reaches megabase context with far fewer parameters, learns by filling in masked DNA, sets state of the art across 106 benchmark tasks, and turns generative to design enhancers that were validated in living cells.
Read the paper: A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (bioRxiv, 2025).