Evaluating Large Language Learning Models' Accuracy and Reliability in Addressing Consumer Health Queries

Individuals with no medical background or training may turn to a variety of resources when in need of health-related information. One new potential source of information is large language models (LLMs). This article describes a preliminary assessment of the accuracy and reliability of several of these models when used to obtain consumer health information. The references provided by the LLM's for each query are also examined for reliability based on the source of information.