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Related Questions
- How does multi-head attention improve parallelization in transformer-based models?
- What are the key differences between multi-head attention and self-attention mechanisms?
- Can you explain the concept of query, key, and value in multi-head attention?
- How does the number of attention heads in multi-head attention affect the model's performance?
- What is the role of attention probabilities in multi-head attention and how are they calculated?
- How does multi-head attention reduce the computational overhead in transformer-based language models compared to single-head attention?
- Can you provide an example of how multi-head attention is applied in a transformer-based model?
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