Transfer Learning.
leveraging pre-existing knowledge and fine-tuning the model on the new dataset using a smaller number of data samples. For instance, models like BERT or GPT have been pre-trained on a large corpus of text and can be fine-tuned for specific tasks like text classification, sentiment analysis, or