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Related Questions
- How does the increase in attention heads in LLMs impact model complexity and training time?
- What are the implications of larger attention windows on computational resources and training efficiency?
- Can you explain how the increase in attention affects the memory requirements and training time of LLMs?
- How does the number of attention layers in LLMs impact the overall training time and model size?
- What are the trade-offs between increasing attention and decreasing the number of transformer layers in LLMs?
- Can you discuss the relationship between attention span and training time in LLMs, and how to optimize it?
- How does the use of multi-head attention in LLMs affect the model's computational requirements and training speed?
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