RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each

This article clarifies the distinct purposes of Retrieval-Augmented Generation (RAG) and fine-tuning in AI, explaining that they solve different problems rather than competing. It provides guidance on when to use each technique based on specific use cases and needs. The key takeaway is that the choice depends on the task, not a universal winner.