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Related Questions
- What are the general trade-offs between model capacity and training data requirements in LLMs?
- How does model capacity affect the number of parameters and the amount of training data needed?
- Can you explain the relationship between model capacity and the risk of overfitting in LLMs?
- How does the choice of model capacity impact the computational resources required for training?
- What are some strategies for determining the optimal model capacity for a given dataset?
- Can you discuss the impact of model capacity on the interpretability of LLMs?
- How does model capacity influence the generalization performance of LLMs on unseen data?
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