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Medical LLMs using retrieval augmentation (RAG) can now screen clinical trial candidates with high accuracy, but only for criteria requiring reasoning across long documents.
Forget fine-tuning: merging models in weight space lets you adapt LLMs to new domains without sacrificing instruction-following ability, even with limited data.
