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9 lines
887 B
Markdown
9 lines
887 B
Markdown
# AutoGen - Tune GPT Models
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`flaml.autogen` offers a cost-effective hyperparameter optimization technique [EcoOptiGen](https://arxiv.org/abs/2303.04673) for tuning Large Language Models. The research study finds that tuning hyperparameters can significantly improve the utility of them.
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Please find documentation about this feature [here](/docs/Use-Cases/Autogen#enhanced-inference).
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Links to notebook examples:
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* [Optimize for Code Generation](https://github.com/microsoft/FLAML/blob/main/notebook/autogen_openai_completion.ipynb) | [Open in colab](https://colab.research.google.com/github/microsoft/FLAML/blob/main/notebook/autogen_openai_completion.ipynb)
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* [Optimize for Math](https://github.com/microsoft/FLAML/blob/main/notebook/autogen_chatgpt_gpt4.ipynb) | [Open in colab](https://colab.research.google.com/github/microsoft/FLAML/blob/main/notebook/autogen_chatgpt_gpt4.ipynb)
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