Understanding RAG: Retrieval-Augmented Generation in NLP
RAG (Retrieval-Augmented Generation) is a cutting-edge approach in NLP that combines retrieval-based and generation-based methods for enhanced text generation.
I’m Faisal Rafiuqe, a Full-Stack Developer and Team Leader based in Karachi, Pakistan, combines technical expertise with leadership acumen. With a passion for innovation, I specialize in crafting seamless digital solutions, driving success in every project I undertake.
RAG (Retrieval-Augmented Generation) is a cutting-edge approach in NLP that combines retrieval-based and generation-based methods for enhanced text generation.
Becoming a full-stack developer is an exciting journey that involves mastering both front-end and back-end technologies.
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