Advancing Question-Answering in Ophthalmology with Retrieval-Augmented Generation (RAG): Benchmarking Open-source and Proprietary Large Language Models (2024)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1101/2024.11.18.24317510
Publication URI: http://dx.doi.org/10.1101/2024.11.18.24317510
Type: Preprint