This repository provides example code and guides for leveraging the OpenAI API, targeting developers and researchers looking to integrate advanced AI capabilities into their applications. It offers practical solutions for common tasks, enabling users to quickly build and deploy AI-powered features.

How It Works

The cookbook primarily uses Python notebooks to demonstrate API usage. It showcases practical implementations of various OpenAI models for tasks like text generation, summarization, and data analysis. The examples are designed to be easily adaptable, providing a foundation for custom AI solutions.

Quick Start & Requirements

• Install: pip install openai
• Prerequisites: OpenAI account with API key. Set OPENAI_API_KEY environment variable or use an .env file.
• Resources: Basic Python environment.
• Docs: cookbook.openai.com

Highlighted Details

• Comprehensive examples for diverse OpenAI API functionalities.
• Focus on practical application and integration patterns.
• Code is primarily Python, with concepts applicable across languages.

Maintenance & Community

This is an official repository from OpenAI, indicating strong backing and potential for ongoing updates.

Licensing & Compatibility

• License: MIT
• Compatibility: Permissive for commercial use and integration with closed-source projects.

Limitations & Caveats

Examples are tied to OpenAI's API, requiring an active account and incurring usage costs. The focus is on API interaction rather than model training or fine-tuning.