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Merge pull request #345 from openai/ted/update-recently-updated-with-qa-example
updates README table of contents
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The OpenAI Cookbook shares example code for accomplishing common tasks with the [OpenAI API].
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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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To run these examples, you'll need an OpenAI account and 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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Most code examples are written in Python, though the concepts can be applied in any language.
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=468576060&machine=basicLinux32gb&location=EastUs)
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=468576060&machine=basicLinux32gb&location=EastUs)
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## Recently added 🆕 ✨
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## Recently added or updated 🆕 ✨
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- [Question answering using embeddings](examples/Question_answering_using_embeddings.ipynb) [Apr 14th, 2023]
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- [Using vector databases for embeddings search](examples/vector_databases/) [various dates]
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- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb) [Mar 10th, 2023]
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- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb) [Mar 10th, 2023]
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- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb) [Mar 1st, 2023]
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- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb) [Mar 1st, 2023]
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- [Using Vector Databases for Embeddings Search with Redis](https://github.com/openai/openai-cookbook/tree/main/examples/vector_databases/redis) [Feb 15th, 2023]
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- [Website Q&A with Embeddings](https://github.com/openai/openai-cookbook/tree/main/apps/web-crawl-q-and-a) [Feb 11th, 2023]
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- [File Q&A with Embeddings](https://github.com/openai/openai-cookbook/tree/main/apps/file-q-and-a) [Feb 11th, 2023]
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- [Visualize Embeddings in Weights & Biases](https://github.com/openai/openai-cookbook/blob/main/examples/Visualizing_embeddings_in_W%26B.ipynb) [Feb 9th, 2023]
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- [Retrieval Enhanced Generative Question Answering with Pinecone](https://github.com/openai/openai-cookbook/blob/main/examples/vector_databases/pinecone/Gen_QA.ipynb) [Feb 8th, 2023]
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## Guides & examples
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## Guides & examples
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- ChatGPT
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- ChatGPT
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- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb)
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- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb)
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- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb)
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- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb)
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- GPT-3
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- GPT
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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: 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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- [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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- [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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- Embeddings
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- [Text comparison examples](text_comparison_examples.md)
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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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- [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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- [Question answering using embeddings](examples/Question_answering_using_embeddings.ipynb)
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- [Using vector databases for embeddings search](examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb)
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- [Semantic search using embeddings](examples/Semantic_text_search_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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- [Recommendations using embeddings](examples/Recommendation_using_embeddings.ipynb)
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- [Clustering embeddings](examples/Clustering.ipynb)
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- [Clustering embeddings](examples/Clustering.ipynb)
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@ -66,12 +58,12 @@ Most code examples are written in Python, though the concepts can be applied in
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Beyond the code examples here, you can learn about the [OpenAI API] from the following 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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- Experiment with [ChatGPT]
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- Try out the API in the [OpenAI Playground]
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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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- Read about the API in the [OpenAI Documentation]
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- Discuss the API in the [OpenAI Community Forum]
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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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- Look for help in the [OpenAI Help Center]
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- See example prompts in the [OpenAI Examples]
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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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- Stay up to date with the [OpenAI Blog]
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## Contributing
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## Contributing
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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"version": "3.9.9"
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},
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},
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"vscode": {
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"vscode": {
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"interpreter": {
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"interpreter": {
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