Large language models are probabilistic text generators trained on massive databases, making hallucination an inherent byproduct of language modeling that prioritizes syntactic and semantic plausibility over factual accuracy, as noted by Shuster et al. (2022) and Kadavath et al. (2022).

Authors

• Person: Not available Organization: Frontiers
  Survey and analysis of hallucinations in large language models

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• Survey and analysis of hallucinations in large language models www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• Large Language Models concept