Retrieval-Augmented Generation (RAG): Enhancing NLP Models

An overview of Retrieval-Augmented Generation (RAG), its functionality, and its applications in natural language processing.
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Try WordGPT FreeAn overview of Retrieval-Augmented Generation (RAG), its functionality, and its applications in natural language processing.
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In the realm of natural language processing and machine translation, the Transformer model has emerged as a pivotal innovation, significantly advancing the state-of-the-art in various tasks. Originally proposed by Vaswani et al., in their seminal paper titled “Attention Is All You Need,” this model introduces a novel architecture that dispenses with traditional recurrent neural networks (RNNs) and convolutional layers, relying solely on attention mechanisms.