Turing-Complete-RAG (TC-RAG): A Breakthrough Framework Enhancing Accuracy and Reliability in Medical LLMs Through Dynamic State Management and Adaptive Retrieval

Medical large language models (LLMs) face challenges such as inaccuracies and outdated information. The innovative TC-RAG framework introduces dynamic state management and adaptive retrieval, significantly improving model accuracy and reliability. By leveraging a memory stack system, TC-RAG minimizes errors and adapts to evolving medical knowledge, proving to be a powerful tool in medical analysis and decision-making.