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Related Questions
- How does the number of attention heads affect the model's ability to capture contextual relationships in the input data?
- Can a lower number of attention heads lead to a decrease in model capacity due to reduced parallelization of attention weights?
- How does the interaction between the number of attention heads and the model's embedding size impact its overall capacity?
- Can a decrease in the number of attention heads result in a loss of contextual information, thereby reducing model capacity?
- How does the number of attention heads affect the model's ability to capture long-range dependencies in the input data?
- Can a lower number of attention heads lead to a decrease in model capacity due to reduced capacity for capturing complex patterns?
- How does the relationship between the number of attention heads and the model's hidden state size impact its overall capacity?
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