What causes LLM hallucinations, and what techniques can detect and mitigate them? How do you build systems that are robust to hallucination in production?

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Hallucinations occur when LLMs generate content that appears fluent and confident but is factually incorrect, unsupported by sources, or logically inconsistent. This is arguably the biggest obstacle to deploying LLMs in production systems where accuracy matters.