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Related Questions
- How do pre-trained language models learn general knowledge that can be applied to various tasks and domains?
- What are the key factors that influence the transferability of knowledge across different domains for large language models?
- Can you explain the role of inductive bias in the transferability of knowledge across different domains for large language models?
- How do domain knowledge and task-specific knowledge interact in the context of large language models?
- What are some common challenges that large language models face when adapting to new domains or tasks?
- How do large language models handle out-of-domain data and what are the implications for transferability?
- Can you discuss the relationship between domain knowledge and the ability of large language models to generalize across tasks and domains?
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