Introduction:Large model refers to a model with large capacity and used for deep learning tasks, usually with massive parameters and complex architecture. Large-scale model has better universality, accuracy and efficiency. It can be learned on large-scale data sets through pre-training or other means, and then it can efficiently handle complex tasks such as computer vision and natural language processing through fine-tuning.
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