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Related Questions
- Can you explain the concept of 'position embeddings' and how they can be used to extend the contextualization window?
- How do you think 'self-attention' mechanisms can be applied to improve the understanding of subtle language cues?
- What are some strategies for using 'pre-trained language models' as a starting point for fine-tuning on specific tasks that require nuanced language understanding?
- Can you discuss the potential benefits and challenges of using 'multi-task learning' to improve the performance of models on tasks that require subtle language understanding?
- How can 'prompt engineering' techniques be used to elicit more informative and subtle language cues from users?
- What are some potential ways to incorporate 'external knowledge' into a model to improve its understanding of subtle language nuances?
- Can you explain the concept of 'contextualized word embeddings' and how they can be used to capture subtle language relationships?
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