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LLMs factor in unrelated details when recommending health care treatment plans Researchers discover nonclinical facts in individual messages — like typos, added white space, and vibrant language — reduces the precision of an AI product. Read through whole story → Much more news on MIT Information homepage →Combine can help innovators tackle