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Related Questions
- What is the purpose of positional encoding in the transformer architecture?
- How does positional encoding help the model understand the order of inputs in self-attention?
- Can you explain the difference between additive and learned positional encoding?
- How does positional encoding contribute to the model's ability to capture long-range dependencies?
- What are the implications of using sine and cosine functions for positional encoding?
- Can you provide an example of how positional encoding is used in a transformer model?
- How does positional encoding affect the model's performance on sequence-to-sequence tasks?
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