A pre-trained model is a machine learning model that has already been trained on a large dataset and has learned to identify patterns and features in the data. These models are trained using powerful algorithms and computing resources, and are usually trained on very large datasets for many hours or even days. Once trained, pre-trained models can be used as a starting point for new machine learning tasks, reducing the amount of time and resources required to train a new model from scratch. They are commonly used in transfer learning, where a pre-trained model is fine-tuned for a specific task, rather than training a model from scratch.
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