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Related Questions
- How does the size of the training dataset affect the performance of a large language model?
- What are the key factors that influence the diversity of training data and how does it impact model performance?
- How does the quality of the training data impact the accuracy and reliability of a large language model?
- What are the trade-offs between increasing the size and diversity of the training dataset versus improving the quality of the data?
- Can you explain the concept of 'curse of dimensionality' in the context of large language models and training data?
- How does the quality of the training data affect the generalizability of a large language model to new, unseen data?
- What are some strategies for collecting and preprocessing high-quality training data for large language models?
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