AI & Automation
What sets RAG apart from fine-tuning in AI product workflows?
Answer:
RAG (Retrieval-Augmented Generation) enables AI models to retrieve live data without full retraining. Fine-tuning modifies core behaviours or tone of the model. RAG is usually quicker, cheaper, and more precise for MVP use cases than extensive model fine-tuning.
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