Strategies to mitigate hallucinations in large language models include using high-quality training data, employing contrastive learning, implementing human oversight, and utilizing uncertainty estimation.

Authors

• Person: Not available Organization: llmmodels.org
  LLM Hallucinations: Causes, Consequences, Prevention - LLMs

Sources

• LLM Hallucinations: Causes, Consequences, Prevention - LLMs llmmodels.org llmmodels.org via serper

Referenced by nodes (5)

• Large Language Models concept
• hallucination concept
• training data concept
• uncertainty estimation concept
• contrastive learning concept