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Related Questions
- What are the effects of out-of-vocabulary (OOV) words on tokenization in large-scale language models?
- How does tokenization impact the performance of language models on tasks such as named entity recognition and part-of-speech tagging?
- What are some common techniques used to handle out-of-vocabulary words in tokenization?
- Can you explain the concept of subword tokenization and its benefits in large-scale language models?
- What are some challenges associated with tokenization in low-resource languages?
- How does tokenization affect the interpretability of large-scale language models?
- Are there any trade-offs between tokenization methods that prioritize speed versus accuracy in large-scale language models?
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