Industries save significant resources by tuning pre-trained models instead of building new ones. For sectors like retail, where customer behavior changes rapidly, or finance, where compliance regulations evolve, fine-tuning enables cost-effective updates and refinements. This ensures that the AI system remains relevant and efficient without the expense of retraining entire models.