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Related Questions
- What are the potential drawbacks of using positional encoding in transformer models?
- How does the choice of positional encoding scheme impact the model's ability to handle long-range dependencies?
- Can you explain the difference between additive and learned positional encoding schemes?
- What are some common techniques used to improve the robustness of transformer models to out-of-distribution data?
- How does the positional encoding scheme affect the model's ability to capture temporal relationships in sequential data?
- What are the implications of using a fixed positional encoding scheme versus a learned one in transformer models?
- Can you discuss the trade-offs between using a simple positional encoding scheme versus a more complex one in terms of computational efficiency and model performance?
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