Tokens are not always full words—words can be broken into multiple tokens (e.g., 'unbelievable' becomes 'un', 'believe', 'able'), allowing the model to understand linguistic building blocks like prefixes, suffixes, and roots.
factualpending
Speaker
Unidentified Speaker — Designing LLM Systems PART 1 Foundations Chapter 1 AI Syste… [SyXHW7xqxi8]Evidence Quote
“A token isn't always a full word. Check out the word unbelievable. The AI might see this as three separate tokens.”
Source
Designing LLM Systems PART 1 Foundations Chapter 1 AI Systems Architecture The Real Currency of AI— ⭐ The Geometry Code --Ananta Geometry ⭐Created: 8/13/2026, 9:56:44 AM
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