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How to efficiently send data to LLM models: reduce token usage and save costs
For organizations, developers, and creative professionals, large language models (LLMs) such as Google Gemini 2.5 Pro and GPT-4o have become indispensable tools. These models handle data in tokens, whether you're creating chatbots, document summaries, or insights. Additionally, as the most of LLM APIs impose fees on token usage, you can drastically reduce your expenses by streamlining your data transmission. Using details gathered from Tech-Aakash's open-source GitHub project

Aakash Walavalkar
Nov 23 min read
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