Prompting a model that only speaks #DNA, like #Evo2, is tricky. In-context learning proved effective, but its boundaries and inner mechanism are not fully clear. Our preprint focuses on those questions, using natural and synthetic sequences, and tools from #mechint. www.biorxi…
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Lorenzo Bertolini
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Directory member with public evidence across AI research, Safety & security, Vision & synthetic media.
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Researcher at the European Commission Joint Research Centre (JRC). Multimodality & interpretability in AI for health. Occasionally, AI for dream research. All views are my own
https://lorenzoscottb.github.io
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Evo 2 as a classification machine: evidence from in-context learning and mechanistic interpretability biorxiv.org
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