Learn Data Science using Python

  Another blog post starts with you beautiful people👦. I hope you have explored my  last blog post  about 2x faster fine-tuning of Mistral 7b model on a custom dataset👈. In this blog post, we are going to learn an essential technique in Generative AI: Retrieval Augmented Generation (RAG). What is RAG? Retrieval Augmented Generation (RAG) is an innovative approach that melds generative models, like transformers, with a retrieval mechanism. By tapping into existing knowledge, RAG retrieves pertinent information from expansive external datasets or knowledge bases to enhance the generation process, thereby elevating the model's content relevance and factual accuracy💪. This versatility renders RAG particularly beneficial for tasks demanding the assimilation of external knowledge, such as question answering or content creation. Upon receiving input, RAG actively searches for relevant documents from specified sources (e.g., Wikipedia, company knowledge base, etc.). It th...