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@@ -42,6 +42,7 @@ Here's a comparison of these models with some previous runs of GPT-4 (no fine-tu
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  Note, for the best performance, certain prompt-engineering and post-processing procedures should be used (details in the paper).
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  The GitHub repo. ([here](https://github.com/anthonysicilia/fortune-dial)) is also available if you wish to train new models with similiar training algorithms.
 
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  For any questions, please reach feel free to [reach out](https://anthonysicilia.tech)!
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  Note, for the best performance, certain prompt-engineering and post-processing procedures should be used (details in the paper).
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  The GitHub repo. ([here](https://github.com/anthonysicilia/fortune-dial)) is also available if you wish to train new models with similiar training algorithms.
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+ This repo. also contains plenty of examples of how to use these models for inference and load them from a local directory.
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  For any questions, please reach feel free to [reach out](https://anthonysicilia.tech)!
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