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Related Questions
- What are the primary factors that affect the performance of a large language model during general-purpose training?
- How does model capacity impact the ability of a large language model to learn from data?
- What are the trade-offs between increasing model capacity and reducing training time in large language model training?
- How does data quality affect the performance of a large language model, and what are the consequences of poor data quality?
- What are some strategies for balancing model capacity, data quality, and training time in large language model training?
- Can you provide examples of how different model capacities and training times can impact the performance of a large language model on various tasks?
- How do hyperparameters, such as learning rate and batch size, interact with model capacity and data quality to affect training time and model performance?
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