When integrating proprietary company data with Large Language Models, organizations typically evaluate two core strategies: Retrieval-Augmented Generation (RAG) and Model Fine-Tuning. Choosing the wrong approach can lead to wasted engineering budgets and poor accuracy. Understanding the Fundamental Difference Think of it this way: RAG is like giving the model an open textbook during an exam: […]
