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Related Questions
- What is the key difference between knowledge distillation and other model compression techniques?
- How does knowledge distillation improve the accuracy of a pre-trained model on a new task?
- Can you explain the concept of multi-task learning and its application in transfer learning?
- What are the benefits of using a multi-task learning approach in a deep learning model?
- How does the architecture of a multi-task learning model differ from a single-task learning model?
- What is the primary goal of knowledge distillation in the context of transfer learning?
- Can knowledge distillation be used to transfer knowledge from a pre-trained model to a model with a different architecture?
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