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Related Questions
- What is the difference between domain adaptation and transfer learning in the context of language models?
- How do we select the best initialization method for domain adaptation in language models?
- What are some common techniques used to fine-tune pre-trained language models for specific tasks?
- How can we measure the effectiveness of domain adaptation in language models using metrics such as accuracy and perplexity?
- What are some challenges associated with domain adaptation in language models, such as catastrophic forgetting?
- How can we leverage self-supervised learning to adapt language models to new domains?
- What is the role of data augmentation in domain adaptation for language models, and how can we apply it effectively?
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