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Related Questions
- What are the key differences between multi-head attention and single-head attention in transformer models?
- How does multi-head attention allow the model to jointly attend to information from different representation subspaces?
- Can you explain the concept of attention heads in multi-head attention and how they are used?
- How does the number of attention heads affect the performance of the transformer model?
- What are the benefits of using multi-head attention compared to single-head attention in natural language processing tasks?
- Can you provide an example of how multi-head attention is used in a real-world transformer model?
- How does multi-head attention improve the model's ability to capture long-range dependencies in the input data?
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