Fine-Tuning vs. RAG: Choosing Your Path

The "Fine-Tuning vs. RAG" debate is the most important architectural decision in AI. Fine-tuning teaches the model *style* and *behavior*, while RAG provides *knowledge* and *accuracy*.

The Decision Matrix

If your AI needs to be expert on ever-changing information, use RAG. If your AI needs to sound exactly like a brand persona or follow strict, non-standard instruction patterns, use Fine-Tuning.