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Related Questions
- What are the key differences between domain adaptation and transfer learning in text generation models?
- How does pre-training on a large corpus of text data contribute to the effectiveness of transfer learning in domain adaptation?
- Can you explain the concept of task-specific fine-tuning in the context of transfer learning for text generation models?
- What are some common techniques used to adapt pre-trained language models to new domains, and how do they contribute to domain adaptation?
- How does the choice of pre-training task and architecture affect the effectiveness of transfer learning in domain adaptation for text generation models?
- What are some challenges and limitations of using transfer learning for domain adaptation in text generation models, and how can they be addressed?
- Can you provide some real-world examples of successful applications of transfer learning for domain adaptation in text generation models?
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