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mlpipes-asabay/md-assistant
md-assistant is a text generation model from mlpipes-asabay. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
MD-Assistant is a fine-tuned llama-2-13B-chat-hf model on the medicaldialog dataset. This model is experimental and is a possible building block for AI assisted tools in clinical visit application use cases, where it…
Downloads · 30 days
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From the Hugging Face model README
MD-Assistant is a fine-tuned llama-2-13B-chat-hf model on the medical_dialog dataset. This model is experimental and is a possible building block for AI assisted tools in clinical visit application use cases, where it might be the core component of an AI tool to assist clinicians.
What makes MedDialog dataset particularly interesting for fine-tuning an llm like the llama-2 is its scope and diversity. The dataset contains over 250,000 utterances from both patients and doctors, spanning 51 different medical categories and 96 specialties. This wealth of information provides a unique opportunity for machine learning models to learn patterns and relationships within medical dialogues, which can ultimately enhance decision-making processes in healthcare settings.
This dataset can be found here on Hugging Face as medical_dialog.
This conversational AI model is not intended to provide medical advice or diagnose medical conditions. It is solely designed to assist with generating hypothetical patient scenarios for educational purposes. Any information provided by this model should not be considered medical advice or substitute for professional medical judgment. If you have any health concerns or symptoms, we strongly encourage you to seek advice from a qualified healthcare professional. Only licensed physicians and medical professionals are trained and authorized to provide medical advice and treatment. Use of this model does not establish a doctor-patient relationship. We disclaim any warranty or liability for damages resulting from the use of this model, including but not limited to direct, indirect, incidental, punitive, and consequential damages.