
Jordan Ellis updated the OpenAI Cookbook repository to align function calling examples with the latest GPT model capabilities, focusing on the integration of gpt-5 and gpt-4.1 into code samples and documentation. Using Python and Jupyter Notebook, Jordan revised the “How to call functions with chat models” section, ensuring that examples accurately reflected current API behaviors and model features. The work centralized model-version updates, improving consistency and maintainability across the repository. By enhancing documentation and code clarity, Jordan reduced onboarding friction for developers and addressed potential confusion, demonstrating a strong grasp of AI/ML concepts, API integration, and technical documentation practices.

Month 2025-08: Delivered a focused feature update in the OpenAI Cookbook to align function calling examples with the latest GPT model capabilities, improving developer readiness and reducing onboarding friction. The work centers on updating code samples and documentation to reflect newer models and ensures consistency across the openai/openai-cookbook repository.
Month 2025-08: Delivered a focused feature update in the OpenAI Cookbook to align function calling examples with the latest GPT model capabilities, improving developer readiness and reducing onboarding friction. The work centers on updating code samples and documentation to reflect newer models and ensures consistency across the openai/openai-cookbook repository.
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