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Related Questions
- What are the key differences between knowledge distillation and model pruning in reducing computational resources for dialogue model training?
- Can you explain the concept of knowledge distillation and how it is applied to dialogue models?
- What are some common techniques used in model pruning, and how do they impact model performance?
- How does knowledge distillation compare to other methods for reducing model size, such as quantization or weight sharing?
- What are some best practices for implementing knowledge distillation in dialogue model training to achieve optimal results?
- Can you discuss the trade-offs between model size and performance in dialogue model training, and how distillation and pruning can help?
- What are some recent advancements in model pruning techniques specifically designed for dialogue models?
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