LibreEval: The Largest Open Source Benchmark for RAG Hallucination Detection
Deep Papers
00:00
Analyzing Hallucinations in Language Models
This chapter explores the categorization and detection of various hallucination types in language model outputs, focusing on their prevalence and experimental findings. It compares the performance of language learning models with human labelers in assessing hallucinations, providing insights into model evaluation and the benefits of fine-tuning smaller models.
Transcript
Play full episode
