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updates table of contents with new additions; combines GPT and ChatGPT sections; moves apps up
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@ -8,14 +8,11 @@ Most code examples are written in Python, though the concepts can be applied in
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## Recently added or updated 🆕 ✨
## Recently added/updated 🆕 ✨
- [How to use a multi-step prompt to write unit tests](examples/Unit_test_writing_using_a_multi-step_prompt.ipynb) [May 19, 2023]
- [How to create dynamic masks with DALL·E and Segment Anything](examples/dalle/How_to_create_dynamic_masks_with_DALL-E_and_Segment_Anything.ipynb) [May 19th, 2023]
- [Question answering using embeddings](examples/Question_answering_using_embeddings.ipynb) [Apr 14th, 2023]
- [Using vector databases for embeddings search](examples/vector_databases/) [various dates]
- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb) [Mar 10th, 2023]
- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb) [Mar 1st, 2023]
## Guides & examples
@ -23,14 +20,12 @@ Most code examples are written in Python, though the concepts can be applied in
- [How to handle rate limits](examples/How_to_handle_rate_limits.ipynb)
- [Example parallel processing script that avoids hitting rate limits](examples/api_request_parallel_processor.py)
- [How to count tokens with tiktoken](examples/How_to_count_tokens_with_tiktoken.ipynb)
- [How to stream completions](examples/How_to_stream_completions.ipynb)
- ChatGPT
- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb)
- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb)
- GPT
- [How to format inputs to ChatGPT models](examples/How_to_format_inputs_to_ChatGPT_models.ipynb)
- [How to stream completions](examples/How_to_stream_completions.ipynb)
- [How to use a multi-step prompt to write unit tests](examples/Unit_test_writing_using_a_multi-step_prompt.ipynb)
- [Guide: How to work with large language models](how_to_work_with_large_language_models.md)
- [Guide: Techniques to improve reliability](techniques_to_improve_reliability.md)
- [How to use a multi-step prompt to write unit tests](examples/Unit_test_writing_using_a_multi-step_prompt.ipynb)
- Embeddings
- [Text comparison examples](text_comparison_examples.md)
- [How to get embeddings](examples/Get_embeddings.ipynb)
@ -41,6 +36,10 @@ Most code examples are written in Python, though the concepts can be applied in
- [Clustering embeddings](examples/Clustering.ipynb)
- [Visualizing embeddings in 2D](examples/Visualizing_embeddings_in_2D.ipynb) or [3D](examples/Visualizing_embeddings_in_3D.ipynb)
- [Embedding long texts](examples/Embedding_long_inputs.ipynb)
- Apps
- [File Q&A](apps/file-q-and-a/)
- [Web Crawl Q&A](apps/web-crawl-q-and-a)
- [Powering your products with ChatGPT and your own data](apps/chatbot-kickstarter/powering_your_products_with_chatgpt_and_your_data.ipynb)
- Fine-tuning GPT-3
- [Guide: best practices for fine-tuning GPT-3 to classify text](https://docs.google.com/document/d/1rqj7dkuvl7Byd5KQPUJRxc19BJt8wo0yHNwK84KfU3Q/edit)
- [Fine-tuned classification](examples/Fine-tuned_classification.ipynb)
@ -52,9 +51,6 @@ Most code examples are written in Python, though the concepts can be applied in
- [How to get completions from Azure OpenAI](examples/azure/completions.ipynb)
- [How to get embeddings from Azure OpenAI](examples/azure/embeddings.ipynb)
- [How to fine-tune GPT-3 with Azure OpenAI](examples/azure/finetuning.ipynb)
- Apps
- [File Q and A](apps/file-q-and-a/)
- [Web Crawl Q and A](apps/web-crawl-q-and-a)
## Related resources

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