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AI 401: The Nature of Tokens

Understand tokenization: how AI perceives text, numbers, code; why it affects counting and precision

To truly understand how an AI "thinks," you must first understand how it "reads." AI models do not see text as a string of letters and words the way humans do. Instead, they see the world through tokens. Tokenization is the process of breaking text down into these fundamental units, and it has profound implications for everything from counting and precision to cost and context.

Related topics

 

  • Grasp token economics: how extended thinking consumes more tokens, cost-performance trade-offs across models
  • Predict failure modes: when AI will struggle based on token limits, pattern complexity, or training gaps
  • Grasp context window constraints: memory limits, conversation coherence, and strategies for long documents

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