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Related Questions
- What are the key differences between supervised and unsupervised domain adaptation in language models?
- How does domain adaptation impact the generalizability of pre-trained language models across various tasks?
- What are some common techniques used to adapt pre-trained language models to new domains or tasks?
- Can you explain the concept of 'domain shift' in the context of language models and how it affects performance?
- How does domain adaptation affect the ability of language models to capture nuances of language specific to a particular domain?
- What role does transfer learning play in the domain adaptation process for pre-trained language models?
- Are there any specific challenges associated with adapting pre-trained language models to low-resource domains or languages?
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