Category: Fine-tuning

Fine-tuning is a crucial process in machine learning where a pre-trained model is further trained on a specific dataset to optimize its performance for a particular task. This technique leverages the knowledge learned from the initial training and adapts it to the nuances of the target dataset, leading to improved accuracy and efficiency. The Fine-Tuning…