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Related Questions
- What are the primary goals of fine-tuning a pre-trained model?
- How does adapting a pre-trained model differ from fine-tuning in the context of transfer learning?
- What are the key considerations when selecting between fine-tuning and adapting for a specific task?
- Can you elaborate on the role of frozen layers in fine-tuning and adapting?
- How do the hyperparameters used in fine-tuning and adapting impact the final model performance?
- What are the typical applications of fine-tuning versus adapting in real-world scenarios?
- How does the choice of pre-trained model architecture impact the fine-tuning versus adapting process?
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