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Includes details on prompting repo

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  1. README.md +3 -2
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@@ -38,8 +38,8 @@ Aloe is a new family of healthcare LLMs that is highly competitive with all prev
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  ### [](https://huggingface.co/templates/model-card-example#model-sources-optional)Model Sources [optional]
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- - **Repository:** Coming Soon
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- - **Paper:** Coming soon
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  ## Model Performance
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@@ -47,6 +47,7 @@ Aloe has been tested on the most popular healthcare QA datasets, with and withou
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/62f7a16192950415b637e201/rQ4z-qXzKN44oAcFDbHi2.png" width="95%">
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  ## Uses
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  ### [](https://huggingface.co/templates/model-card-example#model-sources-optional)Model Sources [optional]
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+ - **Repository:** https://github.com/HPAI-BSC/prompt_engine (more coming soon)
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+ - **Paper:** https://arxiv.org/abs/2405.01886 (more coming soon)
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  ## Model Performance
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/62f7a16192950415b637e201/rQ4z-qXzKN44oAcFDbHi2.png" width="95%">
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+ Results using advanced prompting methods (aka Medprompt) are achieved through a [repo](https://github.com/HPAI-BSC/prompt_engine) made public with this work.
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  ## Uses
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