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Related Questions
- What is the role of attention mechanisms in improving the performance of transformer-based models?
- How do attention heads allow the model to focus on specific parts of the input sequence?
- Can you explain the difference between self-attention and cross-attention in the context of transformer models?
- In what ways do attention heads enable the model to capture long-range dependencies in the input data?
- How do attention heads contribute to the parallelization of transformer-based models?
- What are the computational costs associated with the use of attention heads in transformer models?
- Can you discuss the impact of attention head size and number on the performance of transformer-based models?
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