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Related Questions
- How do domain adaptation and transfer learning apply to fine-tuning pre-trained language models for specific tasks?
- What are the primary goals of domain adaptation in pre-trained language models, and how do they differ from those of transfer learning?
- Can you explain the concept of adaptation metrics in domain adaptation for pre-trained language models?
- How does the choice of pre-trained model architecture impact the effectiveness of domain adaptation and transfer learning?
- What are some common techniques for adapting pre-trained language models to new domains, and when are they typically used?
- In what ways can transfer learning be used to leverage knowledge from one domain to improve performance in another, and what are the key challenges?
- How do the training objectives of pre-trained models influence the success of domain adaptation and transfer learning, and what implications does this have for model selection?
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