Generative artificial intelligence (AI) has made significant strides, with models like GPT-4 demonstrating human-like language generation capabilities. Conventional generative models often need help delivering precise and current information. Retrieval augmented generation (RAG) addresses these limitations by incorporating real-time data retrieval into the generative process. Recent studies show that RAG models have achieved up to a 30 […]
Advertisement