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@@ -44,6 +44,9 @@ To obtain the probabilities for each label (i.e., marketing mix variable), you n
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  IMPORTANT: At the time of writing this description, Huggingface's pipeline did not support multi-label classifiers.
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  ### Quickstart
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  ```python
@@ -89,9 +92,6 @@ Please cite the following reference if you use synthetic experts in your work:
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  Ringel, Daniel, Creating Synthetic Experts with Generative Artificial Intelligence (July 15, 2023). Available at SSRN: https://ssrn.com/abstract=4542949
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  ```
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- ### Working Paper
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- Download the working paper from SSRN: ["Creating Synthetic Experts with Generative AI"](https://papers.ssrn.com/abstract_id=4542949)
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  ### Additional Ressources
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  [www.synthetic-experts.ai](http://www.synthetic-experts.ai)
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  [GitHub Repository](https://github.com/dringel/Synthetic-Experts)
 
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  IMPORTANT: At the time of writing this description, Huggingface's pipeline did not support multi-label classifiers.
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+ ### Working Paper
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+ Download the working paper from SSRN: ["Creating Synthetic Experts with Generative AI"](https://papers.ssrn.com/abstract_id=4542949)
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+
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  ### Quickstart
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  ```python
 
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  Ringel, Daniel, Creating Synthetic Experts with Generative Artificial Intelligence (July 15, 2023). Available at SSRN: https://ssrn.com/abstract=4542949
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  ```
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  ### Additional Ressources
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  [www.synthetic-experts.ai](http://www.synthetic-experts.ai)
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  [GitHub Repository](https://github.com/dringel/Synthetic-Experts)