After deploying RAG across 12 enterprise clients, I can confidently say it still outperforms fine-tuning for most produc
After deploying RAG across 12 enterprise clients, I can confidently say it still outperforms fine-tuning for most production use cases. Here's what we found: 1. RAG gives you updateability — refresh knowledge without retraining 2. Fine-tuning wins on style/tone but loses on factual accuracy 3. Hybrid approaches (RAG + lightweight fine-tune) are the sweet spot 4. Cost difference is 10-50x in favo...
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