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Related Questions
- What are the key techniques for fine-tuning a text generation model?
- Can you explain the concept of transfer learning in the context of text generation?
- How does self-supervised learning contribute to improving a text generation model's generalization?
- What is domain adaptation and how can it be applied to fine-tune a text generation model?
- In what ways can data augmentation techniques enhance a text generation model's ability to generalize?
- What is the role of labeled and unlabeled data in fine-tuning a text generation model?
- Can you discuss the importance of regularization techniques, such as dropout and weight decay, in improving model generalization?
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