RAG vs Fine-Tuning: When to Use Each for Enterprise GenAI Applications
Let's suppose that your business is about to implement GenAI (generative AI). In this case, the conversation inevitably boils down to a dilemma: RAG (Retrieval-Augmented Generation) or Fine-Tuning. At first glance, these appear to be two competing methods for tackling the same problem-getting a base LLM (Large Language Model) to speak your company's language.