Software Engineering Meets External Knowledge: Enhancing LLMs With RAG
RAG: Enhancing Large Language Models with External Knowledge for Informative Text Generation combines LLMs with external knowledge sources to generate more informative & coherent text.
This is a Plain English Papers summary of a research paper called RAG: Enhancing Large Language Models with External Knowledge for Informative Text Generation. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper provides a comprehensive survey of retrieval-augmented text generation (RAG) for large language models (LLMs). RAG is an approach that combines the power of LLMs with the knowledge stored in external information sources to generate more informative and coherent text. The paper covers the key elements of the RAG framew...