Tag: retrieval-augmented generation
How RAG Reduces Hallucinations in Large Language Models: Real-World Impact and Metrics
RAG reduces hallucinations in large language models by grounding answers in trusted external data. Studies show it cuts errors to 0% for GPT-4 in medical contexts, outperforming fine-tuning and RLHF. Learn how it works, where it fails, and how to measure its impact.
