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Microsoft’s new service attempts to address AI hallucinations by using ( ) alongside larger ones to ensure that AI-generated content aligns with verified sources. ( ℎ ℎ , ℎ ℎ ℎ ) But hey Microsoft does what they do

Microsoft Research states that flags potentially inaccurate content, cross-references it with grounding documents, and then rewrites the problematic sections.

This might seem like a step toward fixing the , but experts remain cautious. AI models don’t “know” anything, they predict patterns based on training data. may help reduce obvious errors, but it’s not solving the underlying issue: AI’s inherent tendency to hallucinate. As one expert noted, “ .”

Even if takes AI accuracy from 90% to 99%, the real challenge is in that 1% of undetected errors. , ” ” , .

Then there’s the business angle: Correction is free only for limited use, but beyond 5,000 text records, it comes at a cost. With businesses increasingly concerned about AI accuracy, this adds more complexity, and yet again another layer of unknown cost to the bottom line.

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