ayushgoel24/MedLlama-QA-Advanced-Medical-Question-Answering-with-Llama-2-7b-and-RAG

Utilizing Llama-2-7b and RAG, this medical QA system ensures precise, contextually accurate answers. With advanced embeddings and a robust tech stack, MedLlama-QA achieves superior accuracy, reducing hallucinations and outperforming standard language models.

35
/ 100
Emerging

This system helps medical professionals get precise, contextually accurate answers to complex medical questions. You input a medical question, and the system retrieves relevant information from a vast medical knowledge base, then uses that information to formulate a detailed answer. It's designed for medical researchers, clinicians, or students who need reliable information without the 'hallucinations' sometimes found in general AI.

No commits in the last 6 months.

Use this if you need highly accurate, evidence-backed answers to specific medical questions, leveraging a dedicated knowledge base to avoid common inaccuracies.

Not ideal if you are looking for general knowledge Q&A or if your questions fall outside of established medical literature.

medical-research clinical-support medical-education healthcare-informatics medical-question-answering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 14 / 25

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10

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3

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License

MIT

Last pushed

Feb 06, 2024

Commits (30d)

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