In a previous article, I introduced the concept of Retrieval Augmented Generation (RAG), which is used to provide context to Large Language Models (LLMs) to improve the accuracy of the response.
This tutorial walks you through a practical example of using RAG with GPT 3.5 to answer questions based on a custom dataset. Since the training cutoff for GPT 3.5 is 2021, it cannot answer questions based on recent events. We will use a dataset related to Oscar awards to implement RAG and have GPT 3.5 respond to questions about the 95th Academy Awards, which took place in March…
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