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Related Questions
- What is the primary function of attention mechanisms in neural networks, and how do they enable language models to focus on relevant information?
- Can you explain how the attention mechanism allows language models to capture long-range dependencies and contextual relationships in text?
- How does the use of attention mechanisms impact the performance of language models in tasks such as machine translation and text summarization?
- What are some common architectures that utilize attention mechanisms, such as Transformer and BERT, and how do they improve language understanding?
- Can you discuss the limitations and challenges of using attention mechanisms in language models, such as the risk of overfitting and the need for careful hyperparameter tuning?
- How do attention mechanisms enable language models to handle out-of-vocabulary words and unknown entities in text?
- What are some potential applications of attention mechanisms in natural language processing, such as sentiment analysis and question answering?
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