One post tagged with "AI Context"

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) is emerging as a groundbreaking technique that is redefining the way AI systems generate responses. By combining the strengths of retrieval systems with state-of-the-art language generation models, RAG bridges the gap between static knowledge and dynamic information, resulting in AI that is more accurate, context-aware, and versatile.