Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

arXiv:2402.10153v1 Announce Type: new
Abstract: Effective diabetes management is crucial for maintaining health in diabetic patients. Large Language Models (LLMs) have opened new avenues for diabetes management, facilitating their efficacy. However, current LLM-based approaches are limited by their dependence on general sources and lack of integration with domain-specific knowledge, leading to inaccurate responses. In this paper, we propose a knowledge-infused LLM-powered conversational health agent (CHA) for diabetic patients. We customize and leverage the open-source openCHA framework, enhancing our CHA with …

abstract agent arxiv case case study conversational cs.cl current diabetes domain general health integration knowledge language language models large language large language models llm llms management patients study type