Evo 2 as a classification machine: evidence from in-context learning and mechanistic interpretability
In-context learning (iCL) is an emergent capability of Large Language Models (LLMs), allowing them to perform new tasks at inference time using prompt-injected examples. While extensively studied in LLMs, the boundaries of its capabilities and underlying mechanisms remain poorly characterised in genomic Language Models (gLMs). Here, we map the operating regime of Evo 2, a nucleotide-level…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
