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Related Questions
- What are the most common methods used for pruning attention heads in transformer models?
- How does weight pruning affect the performance of attention heads, and what are the recommended pruning ratios?
- What is the impact of quantizing attention weights on the accuracy and speed of transformer-based models?
- Can you explain the trade-off between memory reduction and performance degradation when applying pruning or quantization to attention heads?
- How can we use knowledge distillation to improve the performance of pruned or quantized attention heads?
- What are the challenges in implementing pruning or quantization techniques on large-scale transformer models, and how can they be overcome?
- Can you provide an example of a transformer model where pruning or quantization was successfully applied to reduce memory requirements without significantly affecting performance?
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