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Related Questions
- What techniques does the model use to handle out-of-vocabulary words in a specific domain or topic?
- How does the model adapt to new or specialized vocabulary in a particular domain?
- Can the model learn to recognize and generate words that are not in its initial training data?
- What strategies does the model employ to handle OOV words in a domain with rapidly evolving terminology?
- How does the model's ability to handle OOV words impact its performance in a specific domain or topic?
- What techniques can be used to fine-tune the model for a specific domain or topic to improve its OOV word handling?
- Can the model learn to generate text that is relevant to a specific domain or topic, even when faced with OOV words?
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