Revolutionizing AI with Retrieval-Augmented Generation
What is RAG (Retrieval-Augmented Generation)? Retrieval-Augmented Generation (RAG) is an AI framework that enhances traditional generative models (such as GPT-3 or GPT-4) by incorporating external information retrieved from a knowledge base or search engine. Unlike standard generative models, which rely solely on the data they were trained on, RAG models retrieve relevant information from an […]
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