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Related Questions
- What is the difference between weight pruning and activation pruning in the context of NLP models?
- How does pruning affect the memory usage of NLP models, and what are the implications for deployment?
- What are some popular pruning techniques used in NLP, and which one is most suitable for a specific use case?
- Can pruning be used to improve the performance of NLP models on low-resource languages?
- How does pruning interact with other techniques like knowledge distillation and transfer learning in NLP?
- What are some common pitfalls to avoid when implementing pruning in NLP models, and how can they be mitigated?
- How does the choice of pruning threshold and schedule impact the accuracy of NLP models?
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