AI Glossary
Hallucination
A hallucination is when an AI model produces a confident answer that is factually wrong or made up.
It happens because language models predict plausible text, not verified truth. In production you reduce it by grounding answers in your own sources (retrieval), citing those sources, adding guardrails and human review for high-stakes steps, and evaluating outputs continuously, which is exactly the difference between a demo and a system you can trust.
Where we put this to work
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