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@@ -33,8 +33,8 @@ The training process was geared towards simulating verbal exchanges between doct
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  ### Usage of the model
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  - The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient.
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- - You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. (**using gpt to generate prompt:**[**colab**](https://colab.research.google.com/drive/17MSob_tQ2hPtMBL0xOF2zzV6WWe4dEG6?usp=sharing))
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- - Directly asking the certain disease about the symptoms and the possible therapies.**(Warning: It's not medical advice!)**
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  ### Model evaluation
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  The model got the **TMMLU+** (0 shot) performance using [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) with default settings.
 
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  ### Usage of the model
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  - The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient.
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+ - You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. **(using gpt to generate prompt: [**colab**](https://colab.research.google.com/drive/17MSob_tQ2hPtMBL0xOF2zzV6WWe4dEG6?usp=sharing))**
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+ - Directly asking the certain disease about the symptoms and the possible therapies.**(Warning: It's not medical advice!)**
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  ### Model evaluation
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  The model got the **TMMLU+** (0 shot) performance using [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) with default settings.