Transfer learning is an important machine learning technique that uses a model��s knowledge of one task to make it perform better on another. Fine-tuning is one of the techniques to perform transfer learning. It is an essential part of the recipe for many state-of-the-art results where a base model is first pretrained on a task with abundant training data and then fine-tuned on different tasks of��
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