Retrieval-Augmented Generation (RAG) has emerged as a groundbreaking approach in natural language processing, marrying the strengths of information retrieval with the capabilities of generative models.

GPT represents a groundbreaking leap in artificial intelligence, transforming the way we interact with technology and enhancing natural language processing capabilities.

Large language models (LLMs) represent a remarkable intersection of advanced technology and human language understanding, driven by intricate architectures and vast datasets.