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Related Questions
- What are some common techniques used to fine-tune pre-trained models for custom tasks?
- How can we effectively adapt pre-trained language models to new domains or tasks?
- What are the advantages and disadvantages of using transfer learning versus training from scratch?
- Can you explain the concept of domain adaptation and its role in bridging the adaptability gap?
- What are some strategies for selecting the most relevant pre-trained models for a custom task?
- How can we leverage multi-task learning to improve adaptability across multiple tasks and domains?
- What are the key factors to consider when evaluating the adaptability of a pre-trained model to a new task?
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