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Related Questions
- How do the number of hidden layers and hidden size impact the capacity of a transformer-based LLM model?
- Can you explain the relationship between the number of hidden layers and the model's ability to learn complex representations?
- What is the effect of increasing the hidden size on the model's computational requirements and memory usage?
- How do the number of hidden layers and hidden size influence the model's ability to generalize to out-of-distribution tasks?
- Can you discuss the trade-offs between increasing the number of hidden layers and the model's training time and computational resources?
- How does the hidden size and number of hidden layers impact the model's ability to capture long-range dependencies in the input data?
- What is the impact of decreasing the hidden size on the model's ability to learn nuanced and context-dependent representations?
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