Evaluating multiple large language models in pediatric ophthalmology

J Holmes, R Peng, Y Li, J Hu, Z Liu, Z Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
IMPORTANCE The response effectiveness of different large language models (LLMs) and
various individuals, including medical students, graduate students, and practicing …

Evaluating multiple large language models in pediatric ophthalmology

J Holmes, R Peng, Y Li, J Hu, Z Liu, Z Wu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
IMPORTANCE The response effectiveness of different large language models (LLMs) and
various individuals, including medical students, graduate students, and practicing …

Evaluating Large Language Models in Ophthalmology

J Holmes, S Ye, Y Li, SN Wu, Z Liu, Z Wu, J Hu… - arXiv preprint arXiv …, 2023 - arxiv.org
Purpose: The performance of three different large language models (LLMS)(GPT-3.5, GPT-
4, and PaLM2) in answering ophthalmology professional questions was evaluated and …

Evaluating Large Language Models in Ophthalmology

J Holmes, S Ye, Y Li, SN Wu, Z Liu, Z Wu, J Hu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Purpose: The performance of three different large language models (LLMS)(GPT-3.5, GPT-
4, and PaLM2) in answering ophthalmology professional questions was evaluated and …