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Showing 1–2 of 2 results
Advanced filters: Author: Micaela E. Consens Clear advanced filters
  • Micaela Consens et al. discuss and review the recent rise of transformer-based and large language models in genomics. They also highlight promising directions for genome language models beyond the transformer architecture.

    • Micaela E. Consens
    • Cameron Dufault
    • Bo Wang
    Reviews
    Nature Machine Intelligence
    Volume: 7, P: 346-362
  • Recently, a genomic language model (gLM) with 40 billion parameters known as Evo2 has reached the same scale as the most powerful text large language models (LLMs). gLMs have been emerging as powerful tools to decode DNA sequences over the last five years. This article examines the emergence of gLMs and highlights Evo2 as a milestone in genomic language modeling, assessing both the scientific promise of gLMs and the practical challenges facing their implementation in medicine.

    • Micaela Elisa Consens
    • Ben Li
    • Stephen Gilbert
    News & ViewsOpen Access
    npj Digital Medicine
    Volume: 8, P: 1-4