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Related Questions
- What are the key differences between domain adaptation and transfer learning in the context of pre-trained language models?
- How does transfer learning enable pre-trained language models to generalize to new domains and tasks?
- Can you explain the concept of 'domain shift' and how transfer learning addresses this challenge in language models?
- What are some common techniques used to fine-tune pre-trained language models for domain adaptation?
- How does the choice of pre-training task and model architecture impact the effectiveness of transfer learning for domain adaptation?
- What are some potential risks or limitations of relying on transfer learning for domain adaptation, and how can they be mitigated?
- Can you provide examples of successful applications of transfer learning for domain adaptation in natural language processing?
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