Concept
Factuality Hallucination
The phenomenon in which a large model generates content inconsistent with objective facts, such as writing incorrect API parameters or fabricating non-existent library functions. It can be corrected by introducing external authoritative knowledge bases through RAG.
Timeline (last 90 days)
Sep 8
Academia divides AI hallucinations into two broad categories: faithfulness hallucinations (output inconsistent with the given source input) and factuality hallucinations (output contradicting verifiable world knowledge).
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