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Hallucination
Phase 02 · LLM Fundamentalscore-concept

When an LLM confidently outputs plausible-sounding information that is factually false, ungrounded, or fabricated.

Why it exists

LLMs predict likely word sequences rather than querying a factual database. Obscure queries cause models to generate plausible-sounding false statements.

How it works

Mitigated by grounding outputs with RAG context, system prompt constraints, lower sampling temperature, and verification guardrails.

Where you'll use this