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Related Questions
- What are the primary considerations when determining the optimal model size for large language models (LLMs)?
- How does the relationship between model capacity and training data requirements impact LLM performance?
- What are the key trade-offs between increasing model capacity and reducing training data requirements?
- How do the types of tasks and datasets influence the optimal balance between model capacity and training data requirements?
- What are the implications of over-capacity vs. under-capacity models on LLM performance and training data requirements?
- Can you discuss the role of hyperparameter tuning in finding the optimal balance between model capacity and training data requirements?
- How do the architectures of LLMs such as transformer, recurrent neural networks, and CNNs impact the balance between model capacity and training data requirements?
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