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Related Questions
- What are the primary challenges that large language models face when working with limited training data?
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- What techniques can be used to address data scarcity in large language model development?
- Can data augmentation strategies help alleviate the effects of data scarcity on large language model performance?
- How does data quality, rather than quantity, affect the performance of large language models in data-scarce environments?
- What are the potential consequences of over-reliance on few-shot learning in large language model development?
- Are there any domain-agnostic approaches to mitigating the impact of data scarcity on large language model accuracy?
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