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Related Questions
- Can you explain how attention mechanisms in NLP models allow the model to focus on specific parts of the input text?
- How do saliency maps in NLP models visualize the importance of different words or tokens in the input text?
- What is the key difference between attention mechanisms and saliency maps in NLP, and when are they used?
- Can you provide an example of how attention mechanisms are used in a popular NLP model, such as BERT or transformer?
- How do saliency maps help in understanding the reasoning behind a model's predictions in NLP tasks?
- What are some common applications of attention mechanisms and saliency maps in NLP, such as text classification, sentiment analysis, or machine translation?
- Can you discuss the trade-offs between using attention mechanisms and saliency maps in NLP models, including computational efficiency and interpretability?
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