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Related Questions
- What is the relationship between vocabulary expansion and generalization in machine learning, and are there any theoretical frameworks that explain it?
- How does the size and diversity of a vocabulary impact a model's ability to generalize to new, unseen data?
- Can you explain the concept of 'lexical overlap' and how it relates to vocabulary expansion and generalization in machine learning?
- What role does the 'curse of dimensionality' play in vocabulary expansion and generalization, and how can it be mitigated?
- Are there any machine learning models or algorithms that are specifically designed to handle large vocabularies and promote generalization?
- How does the concept of 'domain adaptation' relate to vocabulary expansion and generalization, and can it be used to improve model performance?
- Can you discuss the relationship between vocabulary expansion and the 'hallucination' phenomenon in machine learning, where models generate implausible or nonsensical outputs?
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