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LLMs factor in unrelated facts when recommending medical therapies Scientists uncover nonclinical data in affected individual messages — like typos, extra white Area, and colourful language — cuts down the accuracy of an AI product. Read through total story → More news on MIT News homepage →Raghavan has also worked on how on the web platfor

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