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Related Questions
- What is the concept of attention in model explanations, and how does it relate to the selection of contextual information?
- Can you provide an example of how attention is used in natural language processing models to select relevant contextual information?
- How does the attention mechanism help in identifying the most important features or words in a given input?
- What are the key differences between attention and other contextual information selection methods, such as salience or relevance?
- Can you explain how attention is used in transformer-based models, such as BERT or RoBERTa, to select contextual information?
- How does the attention mechanism impact the performance of a model, and what are the potential risks of over-relying on attention?
- Can you provide a high-level overview of the different types of attention mechanisms, such as self-attention, multi-head attention, and relative attention?
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