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README.md
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"The model was fine-tuned based on the **Breeze-7B-Instruct-v0_1** model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital.
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Additionally, 336 synthetic dialogues were included in the training set, carefully crafted to encompass themes drawn from sample questions of the OSCE (臨床技能測驗) sample questions in Taiwan.
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These synthetic dialogues were generated using GPT-3.5,
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The training process was geared towards simulating verbal exchanges between doctors and patients within a hospital environment.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/e7QbiYh07kcGwyKniAo0e.png" alt="image/png" style="width:80%; height:auto;">
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"The model was fine-tuned based on the **Breeze-7B-Instruct-v0_1** model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital.
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Additionally, 336 synthetic dialogues were included in the training set, carefully crafted to encompass themes drawn from sample questions of the OSCE (臨床技能測驗) sample questions in Taiwan.
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These synthetic dialogues were generated using GPT-3.5, Gemini-Pro and Breexe-8x7B-Instruct-v0_1.
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The training process was geared towards simulating verbal exchanges between doctors and patients within a hospital environment.
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"
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/e7QbiYh07kcGwyKniAo0e.png" alt="image/png" style="width:80%; height:auto;">
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