LoRA, or Low-Rank Adaptation, is a technique used to fine-tune AI models by modifying a smaller set of parameters. This approach allows for customization of models for specific styles or tasks without the need for complete retraining. It enhances the model’s capabilities while preserving the knowledge of the original model.