TechTowards Data Scienceabout 2 hours ago
RAG vs Fine-Tuning vs Retraining Guide
1 min read
RAG, fine-tuning, and retraining solve different AI problems and are not interchangeable. RAG adds external context at inference time without changing model weights. Fine-tuning shapes output behavior through additional training on curated examples. Retraining alters the model's internal representations and is the deepest, costliest adaptation.
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