/sentences/meaning
Grounding prevents hallucination.
Confidence in generative systems is earned through retrieval verification, not model scale.
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Fluency is a deceptive signal. A well-worded answer can still be entirely incorrect if it has no connection to source facts.
Grounding is the practice of anchoring model outputs directly to verified context documents. It shifts the burden of proof from model memory to retrieval evidence.
When a system can cite its sources, its answers become auditable. Transparency builds trust where fluency cannot.
What this changes in practice: design generation interfaces to display corresponding source snippets alongside every key claim.