[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 …

Dissociating language and thought in large language models

K Mahowald, AA Ivanova, IA Blank, N Kanwisher… - Trends in Cognitive …, 2024 - cell.com
Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

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 …

Sparks of artificial general intelligence: Early experiments with gpt-4

S Bubeck, V Chandrasekaran, R Eldan… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) researchers have been developing and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …

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 …

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 …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

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 …

Using large language models to simulate multiple humans and replicate human subject studies

GV Aher, RI Arriaga, AT Kalai - International Conference on …, 2023 - proceedings.mlr.press
We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

Lamda: Language models for dialog applications

R Thoppilan, D De Freitas, J Hall, N Shazeer… - arXiv preprint arXiv …, 2022 - arxiv.org
We present LaMDA: Language Models for Dialog Applications. LaMDA is a family of
Transformer-based neural language models specialized for dialog, which have up to 137B …