Unveiling the Potential: Retrieval Augmented Generation Demystified | Simplilearn
Simplilearn
MAY 5, 2024
Retrieval-Augmented Generation (RAG) marks a significant evolution in natural language processing (NLP) models, bridging the gap between generative and retrieval-based approaches. Let's delve into its evolution and core principles to understand its significance. Evolution of RAG Generative Models: Initially, NLP models predominantly focused on gene.
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