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Related Questions
- What are some common techniques for fine-tuning pre-trained language models for specific tasks?
- How can knowledge distillation be used to transfer knowledge from a large pre-trained model to a smaller model?
- What are some methods for selecting the most relevant information to transfer from the teacher model to the student model?
- Can you explain the concept of 'soft targets' in knowledge distillation and how they are used to improve student model performance?
- How can knowledge distillation be used to improve the robustness and generalizability of smaller models?
- What are some challenges and limitations of using pre-trained language models as a knowledge distillation teacher?
- Can you discuss some strategies for adapting knowledge distillation to different types of models, such as transformer-based models?
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