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Related Questions
- What is the primary goal of knowledge distillation in machine learning?
- How does knowledge distillation differ from traditional model compression techniques?
- What are the key components of the knowledge distillation process?
- What is the role of the teacher model in knowledge distillation?
- How does the student model learn from the teacher model during knowledge distillation?
- What are the advantages of using knowledge distillation for model compression?
- Can knowledge distillation be used for transfer learning and fine-tuning?
- What are the challenges and limitations of knowledge distillation in practice?
- How can knowledge distillation be used for model pruning and quantization?
- What are the applications of knowledge distillation in real-world scenarios?
- How does knowledge distillation compare to other model compression techniques, such as pruning and quantization?
- What are the future directions and research areas for knowledge distillation?
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