Discover the transformative impact of Retrieval-Augmented Generation (RAG) models on natural language processing. This article delves into the architecture, training strategies, real-world applications, and future trends of RAG systems, highlighting their potential to revolutionize AI and machine learning with enhanced response accuracy and contextual understanding.
