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Related Questions
- What are the common techniques used by LLMs to handle punctuation and special characters in text?
- How do LLMs tokenize text to preserve the meaning of sentences with multiple punctuation marks?
- Can you explain the process of tokenization in LLMs and how it affects the handling of special characters?
- How do LLMs differentiate between punctuation marks and special characters during the tokenization process?
- What are the implications of tokenization on the performance of LLMs when handling text with complex punctuation?
- How do LLMs handle cases where punctuation marks are used as part of a word, such as 'e.g.' or 'i.e.'?
- Can you provide examples of how LLMs tokenize text with special characters, such as emojis or mathematical symbols?
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