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Merge pull request #446 from glecaros/glecaros/readme_fix

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Removing reference to removed azure fine tuning notebook.
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Ted Sanders 1 year ago committed by GitHub
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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 use ChatGPT with Azure OpenAI](examples/azure/chat.ipynb)
- [How to get completions from Azure OpenAI](examples/azure/completions.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 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 ## 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. - [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. - [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 ## 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. 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.

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