The OpenAI Cookbook shares example code for accomplishing common tasks with the OpenAI API.

To run these examples, you'll need an OpenAI account and associated API key (create a free account).

Most code examples are written in Python, though the concepts can be applied in any language.

• API usage
  • How to handle rate limits
    • Example parallel processing script that avoids hitting rate limits
  • How to count tokens with tiktoken
  • How to stream completions
• GPT-3
  • Guide: How to work with large language models
  • Guide: Techniques to improve reliability
  • How to use a multi-step prompt to write unit tests
  • Text writing examples
  • Text explanation examples
  • Text editing examples
  • Code writing examples
  • Code explanation examples
  • Code editing examples
• Embeddings
  • Text comparison examples
  • How to get embeddings
  • Question answering using embeddings
  • Semantic search using embeddings
  • Recommendations using embeddings
  • Clustering embeddings
  • Visualizing embeddings in 2D or 3D
  • Embedding long texts
• Fine-tuning GPT-3
  • Guide: best practices for fine-tuning GPT-3 to classify text
  • Fine-tuned classification
• DALL-E
  • How to generate and edit images with DALL-E
• Azure OpenAI (alternative API from Microsoft Azure)
  • How to get completions from Azure OpenAI
  • How to get embeddings from Azure OpenAI
  • How to fine-tune GPT-3 with Azure OpenAI

Beyond the code examples here, you can learn about the OpenAI API from the following resources:

• Try out the API in the OpenAI Playground
• Read about the API in the OpenAI Documentation
• Discuss the API in the OpenAI Community Forum
• Look for help in the OpenAI Help Center
• See example prompts in the OpenAI Examples
• Play with a free research preview of ChatGPT
• Stay up to date with the OpenAI Blog

If there are examples or guides you'd like to see, feel free to suggest them on the issues page.