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Related Questions
- What is the role of self-attention mechanism in transformer architecture?
- How does the self-attention mechanism allow the model to weigh the importance of different input elements?
- Can you explain the concept of key-value-query in the context of self-attention?
- How does the dot product attention compute the weights for the self-attention mechanism?
- What are the advantages of using self-attention over traditional recurrent neural networks?
- Can you provide an example of how self-attention can capture long-range dependencies in a sequence?
- How does the scaling factor in the self-attention mechanism affect the model's ability to capture long-range dependencies?
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