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Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,

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Tokenization Guide: Byte pair encoding, WordPiece and other methods Python code in detail

Language models need to convert text into digital form, known as tokenization. Tokenization is divided into word-based and character-based methods. The word-based approach treats each word as a separate tag, whereas the character-based approach treats each character as a separate tag. Word-based methods have a vocabulary explosion problem when dealing with a large number of common words, while character-based methods can reduce vocabulary and thus reduce memory and computational costs.

Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,
Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,
Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,
Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,
Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,
Tokenization Guide: Byte Pair Encoding, WordPiece and Other Methods Python Code Explained Language Models Need to Convert Text into Digital Form,

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