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Related Questions
- What is the primary function of attention mechanisms in contextual models, and how do they facilitate the processing of sequential data?
- How do attention mechanisms enable contextual models to focus on specific parts of the input sequence, and what are the implications for learning idiomatic expressions?
- Can you provide an example of how attention mechanisms are used in a contextual model to learn the nuances of idiomatic expressions, such as phrasal verbs or figurative language?
- How do attention mechanisms help contextual models to capture the contextual dependencies between words in a sentence, and what role do they play in learning idiomatic expressions?
- What are the key differences between self-attention and multi-head attention mechanisms, and how do they impact the learning of idiomatic expressions in contextual models?
- Can you discuss the challenges of training contextual models to learn idiomatic expressions, and how attention mechanisms can help alleviate these challenges?
- How do attention mechanisms enable contextual models to generalize to new, unseen idiomatic expressions, and what are the implications for natural language understanding and generation?
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