
How Faithful are RAG Models? This AI Paper from Stanford Evaluates the Faithfulness of RAG Models and the Impact of Data Accuracy on RAG Systems in LLMs
Retrieval-Augmented Generation (RAG) is emerging as a pivotal technology in large language models (LLMs). It aims to enhance accuracy by integrating externally retrieved information with pre-existing model knowledge. This technology is particularly important in addressing […]