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When a model 'doesn't know X' or 'won't behave how I want,' there are three completely different fixes — and picking the wrong one wastes months. RAG changes what the model KNOWS, fine-tuning changes how it BEHAVES, prompting steers within what it already can do. Here's the decision framework, why they compose instead of competing, and where LoRA fits.