Code mode increases the accuracy of small LLMs

💻 Code mode makes small LLMs more efficient

Instead of generating complex JSON signatures, where smaller models often make mistakes, they are prompted to write full code (Python or TypeScript) to interact with APIs. This allows them to leverage their existing programming skills, increasing accuracy and reducing token consumption.

🌍 Shifting the paradigm from rigid schemas to generating executable code allows for the use of lighter and cheaper models in complex agentic scenarios without the need to fine-tune them for specific APIs.

👤 For AI agent developers, transitioning to "code instead of schemas" will help replace expensive proprietary models with compact and fast solutions without losing quality.

Source 1: https://instavm.io/blog/how-code-mode-can-help-smaller-llm-models