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AWS Agentic AI Labs
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Forget fine-tuning behemoth LLMs for every new task – this paper shows how a tiny, nimble model generating smart supplements can unlock surprisingly strong agentic performance from frozen giants.
Radiology reports can be directly translated into effective supervision signals for brain lesion segmentation, even with incomplete or uncertain information, by explicitly parsing findings and using a unified, uncertainty-aware loss formulation.