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Related Questions
- Can you describe a scenario where a higher number of attention heads in a transformer model would improve performance?
- How do more attention heads affect the training time and computational resources of a language model?
- Can you provide examples of tasks that require long-range dependencies and would benefit from increased attention heads?
- In what situations would the increased attention heads provide better performance and accuracy over the base model?
- How do attention heads contribute to the ability of a model to understand and generate complex contextual relationships?
- Can you explain the role of attention heads in a model's ability to generalize to new, unseen data?
- What are some applications where the increased attention heads would be particularly beneficial, such as in question-answering or text summarization tasks?
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