LLMs factor in unrelated facts when recommending clinical remedies Researchers discover nonclinical data in affected person messages — like typos, extra white space, and colorful language — lowers the precision of an AI product. Read comprehensive story ? Additional information on MIT Information homepage ?The cookie is ready by the GDPR Cookie