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Related Questions
- How does the number of attention heads affect model interpretability in large language models?
- Can excessive attention heads lead to overfitting and reduced model interpretability?
- What are the implications of using a large number of attention heads on model interpretability in terms of computational resources and training time?
- How can the use of multiple attention heads contribute to the challenges of model interpretability, such as understanding the relationships between different parts of the input?
- What strategies can be employed to improve model interpretability when using a large number of attention heads?
- How does the use of attention heads impact the ability to explain model predictions and decisions?
- Can the use of attention heads lead to increased model complexity and reduced interpretability, and if so, how can this be mitigated?
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