The future landscape of large language models in medicine

J Clusmann, FR Kolbinger, HS Muti, ZI Carrero… - Communications …, 2023 - nature.com
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to
process and generate text. LLMs attracted substantial public attention after OpenAI's …

Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation

BA Becker, P Denny, J Finnie-Ansley… - Proceedings of the 54th …, 2023 - dl.acm.org
The introductory programming sequence has been the focus of much research in computing
education. The recent advent of several viable and freely-available AI-driven code …

Gpt-4 technical report

J Achiam, S Adler, S Agarwal, L Ahmad… - arXiv preprint arXiv …, 2023 - arxiv.org
We report the development of GPT-4, a large-scale, multimodal model which can accept
image and text inputs and produce text outputs. While less capable than humans in many …

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 …

Camel: Communicative agents for" mind" exploration of large language model society

G Li, H Hammoud, H Itani… - Advances in Neural …, 2023 - proceedings.neurips.cc
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …

Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

A Srivastava, A Rastogi, A Rao, AAM Shoeb… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Taxonomy of risks posed by language models

L Weidinger, J Uesato, M Rauh, C Griffin… - Proceedings of the …, 2022 - dl.acm.org
Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

In-context impersonation reveals Large Language Models' strengths and biases

L Salewski, S Alaniz, I Rio-Torto… - Advances in neural …, 2023 - proceedings.neurips.cc
In everyday conversations, humans can take on different roles and adapt their vocabulary to
their chosen roles. We explore whether LLMs can take on, that is impersonate, different roles …

Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models

SG Bouschery, V Blazevic… - Journal of Product …, 2023 - Wiley Online Library
The use of transformer‐based language models in artificial intelligence (AI) has increased
adoption in various industries and led to significant productivity advancements in business …