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Related Questions
- What is the primary goal of pre-training in transfer learning?
- How does pre-training differ from fine-tuning in terms of the model's objectives?
- Can you provide an example of a pre-trained model and how it is fine-tuned for a specific task?
- What are the advantages of pre-training over fine-tuning in transfer learning?
- How does the choice of pre-training task affect the performance of the fine-tuned model?
- Can you explain the concept of 'domain adaptation' in the context of fine-tuning?
- How does the amount of fine-tuning data affect the performance of the model in transfer learning?
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