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Related Questions
- What are the key differences in architecture between transformer-based models and RNNs?
- How do transformer-based models handle long-range dependencies compared to RNNs?
- What are the computational costs associated with self-attention mechanisms in transformer-based models?
- Can RNNs be parallelized more easily than transformer-based models?
- How do the memory requirements of transformer-based models compare to those of RNNs?
- What are the trade-offs between computational efficiency and model performance in transformer-based models versus RNNs?
- Can RNNs be optimized for better computational efficiency through techniques like bidirectional RNNs or RNN-LSTMs?
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