How to reduce token waste
Token waste refers to unnecessary token consumption during AI interactions. Minimizing it enhances efficiency and cost-effectiveness.
Carefully phrase queries to avoid verbosity and be clear. Choose appropriate models considering their token limitations. Use prompt engineering techniques like specifying word limits for concise outputs. Optimize file processing by preprocessing documents to remove irrelevant content before feeding them to the AI.
Reducing token waste saves costs and improves response times. Start by crafting focused, direct prompts. When using document retrieval, pre-filter text to include only essential sections. Utilize built-in model settings where available to limit output length. Regularly review interactions to identify recurring inefficiencies, adapting your approach for leaner communication.
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