[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 …

Chatgpt as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses

MA AlAfnan, S Dishari, M Jovic… - Journal of Artificial …, 2023 - ojs.istp-press.com
This empirical study examines ChatGPT as an educational and learning tool. It investigates
the opportunities and challenges that ChatGPT provides to the students and instructors of …

Capabilities of gpt-4 on medical challenge problems

H Nori, N King, SM McKinney, D Carignan… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated remarkable capabilities in natural
language understanding and generation across various domains, including medicine. We …

Scaling vision transformers to 22 billion parameters

M Dehghani, J Djolonga, B Mustafa… - International …, 2023 - proceedings.mlr.press
The scaling of Transformers has driven breakthrough capabilities for language models. At
present, the largest large language models (LLMs) contain upwards of 100B parameters …

Harnessing the power of llms in practice: A survey on chatgpt and beyond

J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang… - ACM Transactions on …, 2024 - dl.acm.org
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …

Algorithmic fairness in artificial intelligence for medicine and healthcare

RJ Chen, JJ Wang, DFK Williamson, TY Chen… - Nature biomedical …, 2023 - nature.com
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

A categorical archive of chatgpt failures

A Borji - arXiv preprint arXiv:2302.03494, 2023 - arxiv.org
Large language models have been demonstrated to be valuable in different fields. ChatGPT,
developed by OpenAI, has been trained using massive amounts of data and simulates …

Holistic evaluation of language models

P Liang, R Bommasani, T Lee, D Tsipras… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …

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 …

Muse: Text-to-image generation via masked generative transformers

H Chang, H Zhang, J Barber, AJ Maschinot… - arXiv preprint arXiv …, 2023 - arxiv.org
We present Muse, a text-to-image Transformer model that achieves state-of-the-art image
generation performance while being significantly more efficient than diffusion or …