fine-tuning

The process of adjusting a pre-trained model on a new, often smaller dataset to improve performance on a specific task.

Fine-tuning involves taking a model that has been pre-trained on a large dataset and adjusting it on a smaller, task-specific dataset. This allows for leveraging the general knowledge acquired during pre-training while tailoring the model for specialized tasks. A common misconception is that fine-tuning is unnecessary if a model performs well without it; however, fine-tuning can lead to significa...