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74 lines
3.8 KiB
Markdown
74 lines
3.8 KiB
Markdown
# OpenAI Cookbook
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The OpenAI Cookbook shares example code for accomplishing common tasks with the [OpenAI API].
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To run these examples, you'll need an OpenAI account and associated API key ([create a free account][api signup]).
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Most code examples are written in Python, though the concepts can be applied in any language.
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## Guides & examples
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- API usage
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- [How to handle rate limits](examples/How_to_handle_rate_limits.ipynb)
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- [Example parallel processing script that avoids hitting rate limits](examples/api_request_parallel_processor.py)
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- [How to count tokens with tiktoken](examples/How_to_count_tokens_with_tiktoken.ipynb)
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- [How to stream completions](examples/How_to_stream_completions.ipynb)
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- GPT-3
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- [Guide: How to work with large language models](how_to_work_with_large_language_models.md)
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- [Guide: Techniques to improve reliability](techniques_to_improve_reliability.md)
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- [How to use a multi-step prompt to write unit tests](examples/Unit_test_writing_using_a_multi-step_prompt.ipynb)
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- [Text writing examples](text_writing_examples.md)
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- [Text explanation examples](text_explanation_examples.md)
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- [Text editing examples](text_editing_examples.md)
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- [Code writing examples](code_writing_examples.md)
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- [Code explanation examples](code_explanation_examples.md)
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- [Code editing examples](code_editing_examples.md)
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- Embeddings
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- [Text comparison examples](text_comparison_examples.md)
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- [How to get embeddings](examples/Get_embeddings.ipynb)
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- [Question answering using embeddings](examples/Question_answering_using_embeddings.ipynb)
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- [Semantic search using embeddings](examples/Semantic_text_search_using_embeddings.ipynb)
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- [Recommendations using embeddings](examples/Recommendation_using_embeddings.ipynb)
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- [Clustering embeddings](examples/Clustering.ipynb)
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- [Visualizing embeddings in 2D](examples/Visualizing_embeddings_in_2D.ipynb) or [3D](examples/Visualizing_embeddings_in_3D.ipynb)
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- [Embedding long texts](examples/Embedding_long_inputs.ipynb)
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- Fine-tuning GPT-3
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- [Guide: best practices for fine-tuning GPT-3 to classify text](https://docs.google.com/document/d/1rqj7dkuvl7Byd5KQPUJRxc19BJt8wo0yHNwK84KfU3Q/edit)
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- [Fine-tuned classification](examples/Fine-tuned_classification.ipynb)
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- DALL-E
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- [How to generate and edit images with DALL-E](examples/dalle/Image_generations_edits_and_variations_with_DALL-E.ipynb)
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- Azure OpenAI (alternative API from Microsoft Azure)
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- [How to get completions from Azure OpenAI](examples/azure/completions.ipynb)
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- [How to get embeddings from Azure OpenAI](examples/azure/embeddings.ipynb)
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- [How to fine-tune GPT-3 with Azure OpenAI](examples/azure/finetuning.ipynb)
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- Apps
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- [File Q and A](apps/file-q-and-a/)
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- [Web Crawl Q and A](apps/web-crawl-q-and-a)
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## Related resources
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Beyond the code examples here, you can learn about the [OpenAI API] from the following resources:
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- Try out the API in the [OpenAI Playground]
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- Read about the API in the [OpenAI Documentation]
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- Discuss the API in the [OpenAI Community Forum]
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- Look for help in the [OpenAI Help Center]
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- See example prompts in the [OpenAI Examples]
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- Play with a free research preview of [ChatGPT]
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- Stay up to date with the [OpenAI Blog]
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## Contributing
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If there are examples or guides you'd like to see, feel free to suggest them on the [issues page].
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[chatgpt]: https://chat.openai.com/
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[openai api]: https://openai.com/api/
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[api signup]: https://beta.openai.com/signup
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[openai playground]: https://beta.openai.com/playground
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[openai documentation]: https://beta.openai.com/docs/introduction
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[openai community forum]: https://community.openai.com/top?period=monthly
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[openai help center]: https://help.openai.com/en/
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[openai examples]: https://beta.openai.com/examples
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[openai blog]: https://openai.com/blog/
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[issues page]: https://github.com/openai/openai-cookbook/issues
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