Lies, Damned Lies, and Large Language Models - Measuring and Reducing Hallucinations

This talk examines causes of hallucinations in large language models, then demonstrates measuring models’ tendency to repeat training-data misinformation with TruthfulQA and Python tools. It also explains how retrieval-augmented generation can reduce hallucinations.