Fine-tuning

Fine-tuning is a process in which a pre-trained model is trained on a new dataset to adapt it to a new task. This is a common practice in deep learning, as it can save a significant amount of time and resources compared to training a model from scratch.

Fine-tuning is a key component of any successful AI strategy, as it can help to improve the performance of your models.