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Related Questions
- What are the advantages of using multi-head attention over single-head attention in transformer models?
- Can you explain the concept of parallelization in multi-head attention and its impact on computation efficiency?
- How does the number of attention heads in multi-head attention affect the model's ability to capture long-range dependencies?
- What are some common applications of multi-head attention in natural language processing tasks?
- How does the attention mechanism in transformer models differ from the traditional recurrent neural network (RNN) approach?
- What is the role of the attention weights in determining the impact of each input element on the output of the model?
- Can you provide an example of how multi-head attention can be used to improve the performance of a language translation model?
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