Lille Ynov Campus - groupe 6#7
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- Introduced `prepared.json` containing 2,000 patient-doctor conversations for fine-tuning. - Created `README.md` for the medical dataset with preparation instructions and usage warnings. - Added `README.md` for the medical LoRA model detailing training and testing procedures. - Implemented `Modelfile.medical` for Ollama server configuration. - Updated presentation materials to reflect the medical focus. - Enhanced integration tests for medical safety and security. - Developed scripts for dataset analysis and evaluation, including `analyze_medical_dataset.py` and `evaluate_medical.py`. - Established a FastAPI server for the fine-tuned medical model. - Updated the web interface to support medical queries and responses. - Added comprehensive documentation for the medical dataset and model evaluation results.
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group 6
DAÏ Yanis
LEDUC Alix
GOURNAY Julien
MARIA FERNANDES Denise