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README.md
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## 💡 **Key Projects**
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- **Description**: A comprehensive dataset comprising question-and-answer pairs from the anamnesis process.
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- **Purpose**:
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- To support the development of AI systems capable of understanding and generating context-aware responses during patient interviews.
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- Focused on real-world medical scenarios.
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- Structured to ensure data quality and relevance.
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###
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- **Description**: A fine-tuned version of Llama 3, trained using the Recurv-Medical-Dataset.
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- **Purpose**:
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- To provide state-of-the-art conversational AI for the medical field.
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## 💡 **Key Projects**
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### 🏥 **Recurv-Medical-Dataset**
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- **Description**: A comprehensive dataset comprising question-and-answer pairs from the anamnesis process.
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- **Purpose**:
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- To support the development of AI systems capable of understanding and generating context-aware responses during patient interviews.
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- Focused on real-world medical scenarios.
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- Structured to ensure data quality and relevance.
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### 🧠 **Recurv-Medical-Llama**
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- **Description**: A fine-tuned version of Llama 3, trained using the Recurv-Medical-Dataset.
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- **Purpose**:
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- To provide state-of-the-art conversational AI for the medical field.
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