Lilian Weng • 7/7/2024

Extrinsic Hallucinations in LLMs

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This technical article delves into the problem of hallucinations in large language models (LLMs), specifically defining and focusing on 'extrinsic hallucinations' where outputs are not grounded in the model's pre-training data (world knowledge). It analyzes root causes, including issues with pre-training data quality and how fine-tuning with new knowledge can increase hallucination tendencies, citing recent research.

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#llm #Pre Training #Fine Tuning
Extrinsic Hallucinations in LLMs

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