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Related Questions
- What is the key difference in computational complexity between self-attention and RNNs?
- How does the parallelization of self-attention enable faster computation compared to sequential processing in RNNs?
- Can you explain the impact of self-attention parallelization on model inference time and training speed?
- What are some challenges in parallelizing self-attention, and how can they be addressed?
- How does the number of attention heads in a transformer model affect its parallelization efficiency?
- What is the role of matrix multiplication in parallelizing self-attention, and how does it impact computational efficiency?
- Can you compare the parallelization efficiency of self-attention and RNNs in terms of GPU utilization and memory usage?
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