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Related Questions
- How do attention weights in a transformer model help with long-range dependencies in sequential data?
- What is the role of self-attention in transformer models, and how do attention weights contribute to this?
- Can you explain how the attention weights are calculated in a transformer model, and what is the significance of this process?
- How do attention weights affect the performance of a transformer model in tasks such as machine translation and text summarization?
- In what ways do attention weights help a transformer model to capture contextual information and relationships between input elements?
- Can you provide an example of how attention weights are used in a transformer model to identify key phrases or entities in a sentence?
- How do attention weights influence the interpretability of a transformer model's outputs, and what are the implications for model understanding and trust?
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