Model-intrinsic hallucinations occur due to limitations in training data, architectural biases, or inference-time sampling strategies, even when well-organized prompts are used, as noted by Bang and Madotto (2023), OpenAI (2023a), and Chen et al. (2023).

Authors

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

Sources

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

Referenced by nodes (2)

• OpenAI entity
• training data concept