Why Models Hallucinate and How to Reduce It
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In this lesson
A student asks a chatbot for “three research papers on exam stress in Indian colleges”. It replies with three neat citations: authors, titles, journals, years. Two of them don’t exist. The model didn’t lie on purpose; it did what it always does: produce likely-looking text.
This is called hallucination: fluent, confident output that is not true.
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