How can Retrieval-Augmented Generation (RAG) and Finetuning be used to develop AI assistants? We will talk about our findings and experiences creating and evaluating AI assistants.
We will discuss different approaches to build AI assistants with Retrieval-Augmented Generation (RAG) and fine-tuning. We will examine each method’s evaluation results, their effects on the relevance, similarity, and accuracy of the responses provided by AI models, and the conclusion drawn from our research.