Unveiling the Power of Retrieval-Augmented Generation (RAG) Models in Natural Language Processing

Natural Language Processing (NLP) has witnessed remarkable advancements over the years, with researchers continually pushing the boundaries of language model capabilities. One significant development in this domain is the emergence of Retrieval-Augmented Generation (RAG) models.

This article delves into the architecture, components, and applications of RAG models, exploring their evolution, advantages, and potential for transforming tasks such as question-answering…