Fine-Tuning Pretrained Models Explained Simply

Fine-tuning adapts a pretrained model like Llama, Mistral, or Qwen for a specific task using small, high-quality data and a low learning rate. It is cheaper than pretraining because the model already understands language. Alternatives include better prompting or retrieval-augmented generation (RAG).