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Advancing Question-Answering in Ophthalmology With Retrieval-Augmented Generation: Benchmarking Open-Source and Proprietary Large Language Models
0
Zitationen
12
Autoren
2025
Jahr
Abstract
Using our RAG, smaller privacy-preserving open-source LLMs can be run in sensitive and resource-constrained environments, such as within hospitals, offering a viable alternative to cloud-based LLMs like GPT-4-turbo.
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Autoren
Institutionen
- University College London(GB)
- Moorfields Eye Hospital NHS Foundation Trust(GB)
- Moorfields Eye Hospital(GB)
- Ho Chi Minh City University of Technology(VN)
- New Jersey Institute of Technology(US)
- Smith-Kettlewell Eye Research Institute(US)
- NIHR Moorfields Biomedical Research Centre(GB)
- University of Glasgow(GB)