A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
Machine learning methods for small data challenges in molecular science
B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing
This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses
natural language processing to fulfill text‐based user requests (ie, a “chatbot”). The history …
natural language processing to fulfill text‐based user requests (ie, a “chatbot”). The history …
[HTML][HTML] ChatGPT in healthcare: a taxonomy and systematic review
The recent release of ChatGPT, a chat bot research project/product of natural language
processing (NLP) by OpenAI, stirs up a sensation among both the general public and …
processing (NLP) by OpenAI, stirs up a sensation among both the general public and …
[HTML][HTML] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …
it faces such as cost and time overruns, health and safety, productivity and labour shortages …
Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends
As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
[HTML][HTML] Chatbots: History, technology, and applications
E Adamopoulou, L Moussiades - Machine Learning with applications, 2020 - Elsevier
This literature review presents the History, Technology, and Applications of Natural Dialog
Systems or simply chatbots. It aims to organize critical information that is a necessary …
Systems or simply chatbots. It aims to organize critical information that is a necessary …
Progressive-hint prompting improves reasoning in large language models
The performance of Large Language Models (LLMs) in reasoning tasks depends heavily on
prompt design, with Chain-of-Thought (CoT) and self-consistency being critical methods that …
prompt design, with Chain-of-Thought (CoT) and self-consistency being critical methods that …
6G-enabled edge AI for metaverse: Challenges, methods, and future research directions
L Chang, Z Zhang, P Li, S Xi, W Guo… - Journal of …, 2022 - ieeexplore.ieee.org
Sixth generation (6G) enabled edge intelligence opens up a new era of Internet of
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …
The emergence of cognitive digital twin: vision, challenges and opportunities
As a key enabling technology of Industry 4.0, Digital Twin (DT) has been widely applied to
various industrial domains covering different lifecycle phases of products and systems. To …
various industrial domains covering different lifecycle phases of products and systems. To …