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Text Tokenization Basics

Learn how text characters are converted into subwords and mapped to unique number IDs for AI processing.

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Exercises
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▶📚 Prerequisites(1)

🎓 Learning objectives

  • •Explain why models process tokens instead of raw characters or whole words
  • •Describe how vocabulary dictionaries map strings to integer IDs
  • •Analyze how punctuation and whitespace affect token counts

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📂 Subtopics

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Why Tokenization: Computers Need Numbers, Not Text

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Byte Pair Encoding (BPE): Building a Vocabulary from the Corpus

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WordPiece and SentencePiece: How BERT and T5 Tokenize Differently

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Tokenization Gotchas: 'cat' vs 'cats', Token Counting and Multilingual Challenges

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llm-foundations →llm-generation →
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