Tokens are how AI systems measure and count language—roughly equivalent to words or word fragments—and every request you send consumes them from a limited budget. Writing aware of token limits means structuring your prompts to be efficient, pruning unnecessary context, and understanding why long conversations eventually hit a wall.
Tokens are the small units of text that AI models read and generate, and every model has a cap on how many tokens it can handle in a single interaction across both your input and its response.
Being token-aware means knowing how to trim unnecessary context, prioritize critical details, and structure requests so AI delivers complete, high-quality answers without cutting off mid-response.
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