Medical Diagnosis Multi-Agent System

Built a comprehensive medical diagnosis system using Llama2 13B that significantly reduces hallucination through advanced validation techniques and chain-of-thought prompting.

Implemented a hybrid RAG (Retrieval-Augmented Generation) architecture with LlamaIndex that processes medical documents, pioneering RAG implementation in 2023 before it became mainstream in the AI community.

Researched novel validation techniques for medical LLM applications, focusing on ensemble methods and confidence scoring to improve diagnostic accuracy and safety.