Author: Manish Deshpande
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RAG Hallucinations: How to Fix Them in Production
Over 40% of RAG Systems in Production Generate Hallucinated Answers An EdTech Platform’s AI Assistant Was One of Them. They Called Us to Fix It. RAG Hallucinations occur when a retrieval-augmented generation system delivers confident but fabricated answers because the retrieval layer returned irrelevant context to the language model. This is not a theoretical risk…
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MLOps for CEOs: Why ML Models Fail in Production
We spent $180K building a fraud detection model that initially worked perfectly-but just four months later, it was approving fraud at three times the pre-model rate, exposing how quickly performance can deteriorate without proper monitoring and maintenance. The Client Call Nobody Wants to Get Eight months ago, a fintech client called us with a problem…