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Ever wondered how AI “chews up” your sentences into tiny pieces before understanding them?

Ans : Tokenization.

Before a model can process language, it breaks text into smaller units called tokens. A token may be a whole word, sub-word, or even a single character depending on frequency. Different languages tokenize differently, which affects speed and context usage. Token limits—like 128K or 1M context windows—determine how much information a model can consider at once. Bigger windows allow models to analyze long documents, understand context better, and improve reasoning capabilities.