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Related Questions
- What is the difference between transfer learning and fine-tuning, and how do they impact the adaptation of the model's weights?
- Can you explain how multi-task learning affects the adaptation of pre-trained models, and what are the benefits of this approach?
- How does domain adaptation impact the adaptation of pre-trained models, and what techniques are used to adapt the model to a new domain?
- What is the role of data augmentation in fine-tuning pre-trained models, and how does it impact the adaptation of the model's weights?
- How does the choice of hyperparameters, such as learning rate and batch size, impact the adaptation of pre-trained models during fine-tuning?
- Can you explain how to use meta-learning to fine-tune pre-trained models, and what are the benefits of this approach?
- What is the difference between model pruning and knowledge distillation, and how do they impact the adaptation of pre-trained models?
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