Personalized Customer Engagement with Retrieval-Augmented Generation (RAG) and Diffusion Models

Abstract

Achieving personalized client interaction across several channels as digital marketing developscalls for powerful artificial intelligence methods capable of producing dynamic and context-awarecontent. More complex models are therefore necessary as traditional recommendation systems can suffer with real-time adaption and extensive contextual awareness