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Related Questions
- Can you explain the concept of subword modeling and its application in handling out-of-vocabulary words?
- How does the use of character-level embeddings and n-gram models contribute to improving the performance of large language models on out-of-vocabulary words?
- What are the advantages and limitations of using pre-trained language models as a starting point for fine-tuning on out-of-vocabulary words?
- Can you discuss the role of vocabulary size and model capacity in determining the performance of large language models on out-of-vocabulary words?
- How does the use of neural architecture search and transfer learning impact the performance of large language models on out-of-vocabulary words?
- What are some potential techniques for augmenting training data to improve the performance of large language models on out-of-vocabulary words?
- Can you explain the concept of zero-shot learning and its application in handling out-of-vocabulary words in large language models?
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