Part 1 – Unlocking the Power of Retrieval Augmented Generation AI
Retrieval Augmented Generation (RAG) is a technology that combines retrieval and generation AI models to generate human-like text and retrieve information from a knowledge base. It is the foundation for products like ChatGPT and Microsoft Copilot. RAG has applications in chatbots, content generation, medical diagnosis, education, and knowledge base search. By blending generative models and retrieval models, RAG can provide contextually relevant and accurate responses to queries. This technology is expected to have a significant impact on various industries and enhance our ability to interact with machines and access information.
Article 17m
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