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Related Questions
- What is knowledge distillation and how does it differ from traditional model transfer learning?
- Can you explain the concept of soft targets in knowledge distillation and how they are used to transfer knowledge?
- How does knowledge distillation help to reduce the gap between the large pre-trained model and the smaller task-specific model?
- What are the advantages of using knowledge distillation for model transfer learning compared to other methods?
- Can you provide an example of how knowledge distillation is used in a real-world application?
- How does knowledge distillation affect the performance of the smaller task-specific model compared to fine-tuning the large pre-trained model?
- What are some common challenges and limitations of knowledge distillation, and how can they be addressed?
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