Providing a Large Language Model with 150 tools actually hinders its accuracy, whereas narrowing the selection to just 5 causes relevance to increase sharply. By carefully filtering these utilities, implementing language translation, and adhering to authe

Providing a Large Language Model with 150 tools actually hinders its accuracy, whereas narrowing the selection to just 5 causes relevance to increase sharply. By carefully filtering these utilities, implementing language translation, and adhering to authentic workflows, we successfully lowered our token consumption by 70%.
Read about our approach here:
https://www.civic.com/resources/how-we-built-personal-software-that-adapts-to-you

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