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Related Questions
- What are the key differences between co-attention and self-attention mechanisms in transformer architectures?
- How does co-attention facilitate information exchange between two tasks, and what are the benefits of this approach?
- Can you explain the self-attention mechanism and how it differs from co-attention in terms of information exchange?
- How does the co-attention mechanism allow for the integration of knowledge from multiple tasks, and what are the implications for model performance?
- What are the limitations of self-attention mechanisms in handling multiple tasks, and how does co-attention address these limitations?
- Can you provide an example of a scenario where co-attention outperforms self-attention in a multi-task learning setting?
- How does the co-attention mechanism learn to weigh the importance of information from different tasks, and what are the factors that influence this weighting?
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