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Related Questions
- What is the attention mechanism and how does it differ from traditional RNNs?
- How does the attention mechanism allow the model to focus on specific input elements when making decisions?
- Can you explain how the attention mechanism improves the model's ability to capture long-range dependencies in sequential data?
- How does the attention mechanism enable the model to weigh the importance of different input elements when making predictions?
- Can you provide an example of how the attention mechanism is used in a real-world NLP application?
- How does the attention mechanism compare to other techniques for improving model interpretability, such as feature importance or saliency maps?
- Can you discuss the potential limitations and challenges of using the attention mechanism in deep learning models?
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