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Related Questions
- What are the key differences between weight pruning and neuron pruning in LLMs?
- How does knowledge distillation relate to neural network pruning, and what are its benefits?
- What are some common techniques for compressing floating-point numbers in LLMs, such as quantization?
- Can you explain the concept of 'magnitude-based' pruning and how it is used in LLMs?
- How does pruning affect the performance of LLMs on different types of tasks, such as language translation versus text classification?
- What are some popular libraries and tools for implementing neural network pruning in LLMs, and what are their strengths and weaknesses?
- How does pruning interact with other techniques for reducing model size, such as knowledge distillation and model pruning?
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