Large language models in medicine

AJ Thirunavukarasu, DSJ Ting, K Elangovan… - Nature medicine, 2023 - nature.com
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …

[HTML][HTML] ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

PP Ray - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
In recent years, artificial intelligence (AI) and machine learning have been transforming the
landscape of scientific research. Out of which, the chatbot technology has experienced …

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 …

[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

S Ali, T Abuhmed, S El-Sappagh, K Muhammad… - Information fusion, 2023 - Elsevier
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Chatgpt and open-ai models: A preliminary review

KI Roumeliotis, ND Tselikas - Future Internet, 2023 - mdpi.com
According to numerous reports, ChatGPT represents a significant breakthrough in the field of
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Advances, challenges and opportunities in creating data for trustworthy AI

W Liang, GA Tadesse, D Ho, L Fei-Fei… - Nature Machine …, 2022 - nature.com
As artificial intelligence (AI) transitions from research to deployment, creating the appropriate
datasets and data pipelines to develop and evaluate AI models is increasingly the biggest …

Glam: Efficient scaling of language models with mixture-of-experts

N Du, Y Huang, AM Dai, S Tong… - International …, 2022 - proceedings.mlr.press
Scaling language models with more data, compute and parameters has driven significant
progress in natural language processing. For example, thanks to scaling, GPT-3 was able to …

The stack: 3 tb of permissively licensed source code

D Kocetkov, R Li, LB Allal, J Li, C Mou… - arXiv preprint arXiv …, 2022 - arxiv.org
Large Language Models (LLMs) play an ever-increasing role in the field of Artificial
Intelligence (AI)--not only for natural language processing but also for code understanding …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …