In short, Extended Language Models (LLM) They have found wide applicability in modern language processing tasks and even paved the way for autonomous ai agents. Chances are you’ve heard of ChatGPT, or even used it yourself. ChatGPT is powered by a generative ai technique called Large Language Models.
Recovery Augmented Generationeither RAGhas become one of the most popular techniques in the world of applied generative ai. Even though large language models demonstrate unprecedented ability to generate text, their answers are not always correct. If we look more closely, we can see that the answers of large language models are plagued by suboptimal information and inherent memory limitations. RAG addresses these limitations of LLMs by providing information external to these models. In this way, more reliable and trustworthy LLM responses are obtained. The basic concept of RAG is illustrated in the following exampleHere we provide external information to ChatGPT (manually) so that it responds accurately.
