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Related Questions
- How does dataset size impact the ability of language models to capture subtle nuances in language?
- What is the minimum dataset size required to train a language model that can learn context-dependent features?
- Can you explain the concept of 'curse of dimensionality' in the context of language modeling and dataset size?
- How does the quality of the dataset (e.g. diversity, relevance) affect the ability of language models to learn nuanced features?
- Are there any specific techniques or architectures that can help language models learn nuanced features with smaller dataset sizes?
- What is the relationship between dataset size and the ability of language models to generalize to out-of-distribution examples?
- Can you discuss the trade-offs between dataset size, model capacity, and the ability of language models to learn nuanced features?
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