MTech in Machine learning, DA-IICT | Passion for NLP, Recommendation System | Creating conversational agents using LLM.
Retrieval Augmented Generation (RAG) represents a significant advancement in the field of natural language processing (NLP), merging the strengths of retrieval-based systems and generative models. This hybrid approach not only enhances the accuracy and relevance of generated responses but also ensures that the information remains current without the need for
Retrieval Augmented Generation (RAG) systems are transforming the AI landscape by blending the accuracy of retrieval methods with the creative power of Large Language Models (LLMs). This combination ensures that AI responses are both precise and contextually relevant by grounding them in factual data. This guide provides actionable insights for