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Related Questions
- What are the common challenges in traditional knowledge distillation that affect transferability in large language models?
- How does the use of pseudo-outputs and pseudo-targets in knowledge distillation improve transferability?
- Can you describe the role of attention mechanisms in knowledge distillation for large language models?
- What are some modifications to the traditional teacher-student architecture that enhance transferability in knowledge distillation?
- How does the use of regularization techniques, such as dropout and weight decay, impact transferability in knowledge distillation?
- Can you explain the effect of different loss functions on transferability in knowledge distillation for large language models?
- What are some techniques for calibrating the teacher and student models to improve transferability in knowledge distillation?
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