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Related Questions
- How does the size of the training dataset impact the range of topics an LLM can understand?
- Can a smaller training dataset limit the depth of knowledge representation in an LLM?
- What is the relationship between training data volume and the ability of an LLM to generalize to new domains?
- How does the diversity of the training data affect the breadth of knowledge representation in an LLM?
- Can a larger training dataset improve the accuracy of an LLM's knowledge representation?
- What are the potential trade-offs between training data volume and model complexity in LLMs?
- How does the quality of the training data impact the overall knowledge representation in an LLM?
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