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What Is an AI Hallucination? Meaning, Risks, and Examples
Large language models predict likely next words based on patterns, not truth, so hallucinations are a structural side effect of how they are trained and prompted.
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The Hallucination Problem: Why AI Gets Brands Wrong
Hallucinations are not an edge case but a predictable outcome of how language models are trained, and they show up most painfully in brand, product, and policy statements. For Indian B2B brands, the highest-risk hallucinations involve fabricated features, misrepresented eligibility and pricing, invented case studies, and incorrect regulatory claims.