Fine-tuning is your answer when you need to change how the model behaves, not what it knows.
Choose fine-tuning when:
- You need a consistent output style or tone
- The task requires specialized reasoning patterns
- You want to reduce prompt length and inference costs
- The model consistently fails at your task despite good prompts
- You need faster inference (no retrieval step)