Evaluation of a Retrieval-Augmented Generation-Based Large Language Model for Evidence-Based Herb and Supplement Information in Cancer Care
Abstract
Unlabelled: Our study describes the development and evaluation of a retrieval-augmented generation-based large language model to improve the quality of responses to provider questions about herbs and dietary supplements.
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