Pre-training refers to the process of training deep neural network parameters on a large corpus before a specific task model performs a particular task. This approach enables downstream tasks to fine-tune the pre-trained model parameters based on a small amount of labeled data. eliminating the need to train a new model from scratch. Currently. https://wholelatteslovers.shop/product-category/glass-dripper/