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Related Questions
- What are the key benefits of using pre-trained models for fine-tuning in machine learning?
- How do pre-trained models handle domain adaptation and task-specific knowledge?
- Can you explain the concept of 'transfer learning' in the context of pre-trained models?
- What are some common applications of pre-trained models in natural language processing and computer vision?
- How do pre-trained models address the problem of overfitting in fine-tuning?
- What is the role of hyperparameter tuning in fine-tuning pre-trained models?
- Can you discuss the trade-offs between using pre-trained models versus training models from scratch for specific tasks?
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