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Related Questions
- What are the key differences between inductive and transductive learning in the context of domain adaptation?
- How does the pre-trained language model's ability to learn generalizable representations affect its ability to adapt to new domains?
- What role does the pre-trained model's knowledge of linguistic patterns and structures play in facilitating adaptation to a new domain?
- Can you explain how the pre-trained model's knowledge of abstract concepts and relationships helps it to generalize across domains?
- How does the pre-trained model's ability to learn from large amounts of unstructured data impact its ability to adapt to a new domain?
- What techniques can be used to fine-tune the pre-trained model for a specific domain, and how do they affect the model's performance?
- How does the pre-trained model's ability to capture nuanced contextual relationships facilitate its adaptation to a new domain?
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