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Gerardo Lecaros 2023-05-23 07:36:27 -07:00
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@ -53,7 +53,6 @@ Most code examples are written in Python, though the concepts can be applied in
- [How to use ChatGPT with Azure OpenAI](examples/azure/chat.ipynb)
- [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)
## Related OpenAI resources
@ -110,7 +109,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a
- [Reflexion: an autonomous agent with dynamic memory and self-reflection (2023)](https://arxiv.org/abs/2303.11366): Retrying tasks with memory of prior failures improves subsequent performance.
- [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP (2023)](https://arxiv.org/abs/2212.14024): Models augmented with knowledge via a "retrieve-then-read" can be improved with multi-hop chains of searches.
## Contributing
If there are examples or guides you'd like to see, feel free to suggest them on the [issues page]. We are also happy to accept high quality pull requests, as long as they fit the scope of the repo.