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Related Questions
- How do attention mechanisms improve the ability of language models to capture long-range dependencies in text?
- Can you elaborate on the difference between self-attention and traditional recurrent neural networks in handling contextual understanding?
- What are the advantages of using attention mechanisms in language modeling over traditional recurrent neural networks?
- How do attention mechanisms allow language models to selectively focus on relevant parts of the input when processing text?
- What role do attention mechanisms play in improving the robustness of language models to out-of-vocabulary words and rare events?
- Can attention mechanisms be used in conjunction with other techniques, such as word embeddings and pre-training, to improve language model performance?
- How do attention mechanisms facilitate the development of more interpretable and explainable AI models in NLP tasks?
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