Language models, such as ChatGPT, can exhibit "hallucinations" where they provide inaccurate or outdated information. This can be addressed by using the Retrieval Augmented Generation (RAG) framework, which allows the language model to fetch relevant and up-to-date information directly related to the user's query, making it more reliable.
















