Fine-tuning is additional training of an LLM on specialized data to adapt it for a specific task or domain. Fine-tuning allows customizing a model's behavior without training from scratch.
What is Fine-tuning?
Fine-tuning takes a pre-trained model and continues training on specific data to specialize it for particular tasks.
Fine-tuning vs Prompt Engineering
| Aspect | Fine-tuning | Prompt Engineering |
|---|---|---|
| Cost | High (training) | Low (usage only) |
| Flexibility | Fixed after training | Adjustable in real-time |
| Performance | Optimized for task | General |
Enterprise AEO Implications
Some companies fine-tune internal models. Ensuring your brand is in quality datasets can influence these specialized models.