ended5월 20일· 1 sources
Should You Use RAG or Fine-Tune Your LLM?
Why it matters
The debate over retrieval augmented generation (RAG) vs. fine-tuning appears simple at first glance. RAG pulls in external data at inference time. Fine-tuning modifies model weights during training. I...
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