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Related Questions
- What are the key considerations when determining the optimal model capacity for a large language model?
- How does the quality and quantity of training data impact the performance of a large language model?
- What are the trade-offs between model capacity and training data size in terms of computational resources and training time?
- How does the choice of model architecture influence the trade-off between model capacity and training data size?
- What are the implications of overfitting and underfitting on the trade-off between model capacity and training data size?
- How can the use of transfer learning and pre-training affect the trade-off between model capacity and training data size?
- What are the potential consequences of increasing model capacity without sufficient training data size in LLMs?
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