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Google published a new research paper that found that frontier LLMs encode 95–98% of the tested facts but are unable to directly recall 26–34% in answers to queries. Part of the problem is that recall becomes more difficult when questions reverse the subject/object entity order in which a fact was encountered in training.
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Confusion is continuing to mount for AnMed health care patients as the WYFF News team has been hearing concerns from AnMed patients. We reached out to AnMed and asked the hospital system a list of questions.
Inconsistent output undermines trust in AI-powered analytics. See how a governance-first semantic layer removes duplication, reduces rework, and enables accurate AI answers—across tools, apps, and BI platforms.