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Related Questions
- What is the relationship between the number of attention heads and the complexity of the task in language modeling?
- How does the number of attention heads impact the capacity of the model to capture long-range dependencies?
- Can you explain the effect of increasing the number of attention heads on the computational cost and training time?
- How does the choice of number of attention heads influence the trade-off between representational power and model complexity?
- Can you provide examples of how different numbers of attention heads have been used in successful language modeling architectures?
- What are the potential risks or drawbacks of using a large number of attention heads in a language model?
- How can the optimal number of attention heads be determined for a specific language modeling task?
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