Few-shot regulatory sequence design with a genomic language model
A central challenge in generative biology is translating knowledge learned from natural sequences and experiments into designs with desired functions. In-context learning (ICL) is an emergent capability of large language models that allows them to adapt to new tasks from a few examples without additional training, enabling these models to become general-purpose learners. Here, we show that the…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
