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Related Questions
- What is the role of transfer learning in pre-trained models?
- How do pre-trained models handle out-of-domain data?
- What are some common techniques used to fine-tune pre-trained models for specific tasks?
- Can pre-trained models learn generalizable representations without any task-specific data?
- How do pre-trained models adapt to new domains or tasks?
- What is the difference between domain knowledge and generalizable representations in pre-trained models?
- Can pre-trained models learn to recognize and incorporate domain-specific knowledge into their representations?
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