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Related Questions
- What are the key differences between fine-tuning and training a model from scratch?
- How does transfer learning contribute to the generalizability of a model after fine-tuning?
- Can you explain the concept of 'domain adaptation' and its relevance to fine-tuning a pre-trained model?
- What are some common challenges and pitfalls to avoid when fine-tuning a pre-trained model?
- How does the choice of hyperparameters affect the performance of a fine-tuned model?
- What is the role of data augmentation in fine-tuning a pre-trained model, and how does it impact generalizability?
- Can you discuss the relationship between fine-tuning and overfitting, and how to prevent overfitting in fine-tuned models?
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