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Related Questions
- What are the key differences between fine-tuning and training a model from scratch?
- How does fine-tuning a pre-trained model affect the model's ability to generalize to new data?
- What are some common techniques used to fine-tune a pre-trained model for a specific task or dataset?
- Can fine-tuning a pre-trained model be used to adapt to changes in the task or dataset over time?
- How does the choice of pre-trained model affect the performance of a fine-tuned model?
- What are some best practices for fine-tuning a pre-trained model to avoid overfitting or underfitting?
- Can fine-tuning a pre-trained model be used to improve the performance of a model on a related but distinct task?
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