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Related Questions
- How do larger model sizes impact the ability to handle out-of-vocabulary words in large language models?
- What are the trade-offs between model size and the number of parameters in large language models?
- How does the complexity of a large language model affect its ability to generalize to unseen data?
- Can smaller models be more effective at handling out-of-vocabulary words than larger models in certain situations?
- How do different training objectives, such as masked language modeling and next sentence prediction, impact the ability to handle out-of-vocabulary words?
- What are some techniques for addressing out-of-vocabulary words in large language models, and how do they impact model size and complexity?
- How does the choice of embedding space and vocabulary size impact the ability of a large language model to handle out-of-vocabulary words?
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