LLM-as-a-judge: smart eval for RAG systems
Retrieval-Augmented Generation (RAG) is quickly becoming the go-to technique for making Large Language Models (LLMs) more reliable and less prone to "hallucinations". By integrating a retrieval component that pulls in specific, trusted data, RAG systems can deliver accurate, source-backed answers for everything from customer support to fraud detection.