A team needs its model to follow a specialized response style learned from many examples. How does fine-tuning differ from simply adding instructions to a prompt?

1. Fine-tuning updates model parameters using training examples
2. Fine-tuning eliminates all inference costs
3. Adding a prompt permanently retrains every model parameter
4. Fine-tuning only changes the caller's network route