Uploaded May 2026 | Updated September 2026, 3 weeks ago

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Fine-tuning permanently retrains a model on domain-specific data, while RAG (Retrieval-Augmented Generation) dynamically pulls in external documents at query time to ground answers. In short: fine-tuning changes the model’s “knowledge,” RAG changes the model’s “context.”

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