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Related Questions
- What is the concept of knowledge distillation and its primary goal?
- How does knowledge distillation work in the context of machine learning, and what are its key components?
- What are the advantages of using knowledge distillation to transfer knowledge from a larger model to a smaller one?
- Can you provide a step-by-step explanation of the knowledge distillation process, including the role of the teacher and student models?
- How does knowledge distillation differ from other methods of model compression or knowledge transfer?
- What are some common applications of knowledge distillation in real-world scenarios, and how has it been used in the past?
- What are some challenges or limitations associated with knowledge distillation, and how can they be addressed?
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