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Related Questions
- What techniques are used in fine-tuning to prevent the general language knowledge from being erased during adaptation?
- How does task-specific knowledge interact with general language knowledge during fine-tuning?
- Can fine-tuning adapt a pre-trained language model to multiple tasks or domains without degradation in performance?
- What role does layer freezing play in fine-tuning to maintain the pre-trained language knowledge?
- How does adaptive fine-tuning help a pre-trained model generalize across different tasks and domains?
- What impact does the number of parameters in the fine-tuned model have on the balance between task-specific and general language knowledge?
- Can the use of domain-specific or task-specific data augmentations enhance fine-tuning to maintain the pre-trained knowledge base while adapting to a new domain or task?
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