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Related Questions
- What is the impact of a larger training dataset on an LLM's ability to recognize out-of-vocabulary (OOV) words?
- How does the quality of the training data affect an LLM's capacity to handle OOV words?
- Can a smaller training dataset with high-quality data be more effective than a larger dataset with low-quality data in handling OOV words?
- How does the diversity of the training data influence an LLM's ability to recognize OOV words?
- What is the relationship between the size of the training dataset and the LLM's ability to generalize to OOV words?
- Can a pre-trained LLM's ability to handle OOV words be improved through fine-tuning on a smaller dataset?
- How does the presence of OOV words in the training data affect the LLM's ability to learn and generalize to new words?
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