The answer
Parameter-Efficient Fine-Tuning techniques that only train a tiny fraction of the model's weights (adapter), reducing training costs.
When to Fine-Tune an LLM vs When to Use RAG
What is PEFT and LoRA?
More FAQs in When to Fine-Tune an LLM vs When to Use RAG
Yes, you can fine-tune a model to output a specific style, and then use RAG to feed it real-time search context.
It requires computing power to run training epochs on GPUs. RAG is generally much cheaper to implement and maintain.
No, RAG only provides context. Fine-tuning updates the model's behavioral patterns.
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