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Related Questions
- What are the key differences between pre-training and fine-tuning in transfer learning?
- How does the concept of 'feature learning' contribute to the adaptability of pre-trained language models?
- Can you explain the role of 'task-specific' fine-tuning in adapting pre-trained models to new tasks?
- What are some common techniques used to fine-tune pre-trained language models for specific tasks?
- How does the choice of pre-training objective affect the adaptability of the model to new tasks?
- What are some potential challenges or limitations of fine-tuning pre-trained language models for new tasks?
- Can you discuss the importance of 'domain adaptation' in fine-tuning pre-trained language models for specific domains or tasks?
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