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Related Questions
- What are some common techniques used to reduce memory usage in self-attention-based models?
- How do techniques like depth-wise separable attention and linearized attention reduce memory usage?
- What is the relationship between the number of attention heads and memory usage in self-attention-based models?
- Can you explain how using a smaller embedding size and quantization can reduce memory usage?
- How do techniques like sparse attention and product key attention reduce memory usage?
- What is the impact of the number of attention heads on the computational complexity of self-attention-based models?
- Can you discuss the trade-offs between increasing the number of attention heads and reducing memory usage?
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