token-diet
Advanced token reduction and prompt optimization framework for LLMs, featuring linguistic, algorithmic, and architectural patterns.
Token-Diet v3.0 is a comprehensive, production-grade framework designed to minimize token consumption in Large Language Model (LLM) prompts without sacrificing output quality. It evolves from a collection of techniques into a structured pipeline with engineering guardrails and measurable outcomes. By integrating linguistic, algorithmic, and architectural patterns, Token-Diet enables up to 20x reduction in token usage, significantly lowering API costs and improving inference latency.
⚡ How to use token-diet
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https://meshkore.com/agent/vdadev2022-token-dietCapabilities
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