AIHacker Noonabout 11 hours ago
RAG vs Fine-Tuning vs Retraining Guide
9 min read
RAG connects a model to enterprise knowledge sources without changing its weights. Fine-tuning adapts a pre-trained model to a defined task or response pattern. Retraining changes the model's internal representation of language and domain patterns. A hybrid approach combining all three methods covers the most common enterprise AI use cases.
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