Large Language Models (LLMs) are prone to hallucination because they are fundamentally brittle machine learning models that may fail to generate accurate responses even when the retrieved context contains the correct answer, particularly when reasoning across different facts is required.

Authors

• Person: Not available Organization: Cleanlab
  Benchmarking Hallucination Detection Methods in RAG - Cleanlab

Sources

• Benchmarking Hallucination Detection Methods in RAG - Cleanlab cleanlab.ai Cleanlab via serper

Referenced by nodes (3)

• Large Language Models concept
• hallucination concept
• machine learning concept