Foundation models for generalist medical artificial intelligence

M Moor, O Banerjee, ZSH Abad, HM Krumholz… - Nature, 2023 - nature.com
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …

A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - ar** and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arxiv preprint arxiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Palm 2 technical report

R Anil, AM Dai, O Firat, M Johnson, D Lepikhin… - arxiv preprint arxiv …, 2023 - arxiv.org
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and
reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is …

A survey on in-context learning

Q Dong, L Li, D Dai, C Zheng, J Ma, R Li, H **a… - arxiv preprint arxiv …, 2022 - arxiv.org
With the increasing capabilities of large language models (LLMs), in-context learning (ICL)
has emerged as a new paradigm for natural language processing (NLP), where LLMs make …

Scaling instruction-finetuned language models

HW Chung, L Hou, S Longpre, B Zoph, Y Tay… - Journal of Machine …, 2024 - jmlr.org
Finetuning language models on a collection of datasets phrased as instructions has been
shown to improve model performance and generalization to unseen tasks. In this paper we …

[HTML][HTML] Large language models encode clinical knowledge

K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung… - Nature, 2023 - nature.com
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for
clinical applications is high. Attempts to assess the clinical knowledge of models typically …