Results 111 to 120 of about 2,779 (194)

A New Grid Zenith Tropospheric Delay Model Considering Time-Varying Vertical Adjustment and Diurnal Variation over China

Remote Sensing
Improving the accuracy of zenith tropospheric delay (ZTD) models is an important task. However, the existing ZTD models still have limitations, such as a lack of appropriate vertical adjustment function and being unsuitable for China, which has a complex
Jihong Zhang, Xiaoqing Zuo, Shipeng Guo, Shaofeng Xie, Xu Yang, Yongning Li, Xuefu Yue   +6 more
doaj   +1 more source

A Statistical Turing Test for Generative Models

, 2023
The emergence of human-like abilities of AI systems for content generation in domains such as text, audio, and vision has prompted the development of classifiers to determine whether content originated from a human or a machine. Implicit in these efforts
Helm, Hayden, Priebe, Carey E., Yang, Weiwei   +2 more
core  

Utility of learning plans in general practice vocational training: a mixed-methods national study of registrar, supervisor, and educator perspectives [PDF]

, 2016

core   +1 more source

A Refined Spatiotemporal ZTD Model of the Chinese Region Based on ERA and GNSS Data

Remote Sensing
Empirical tropospheric models can improve the performance of GNSS precise point positioning (PPP) by providing a priori zenith tropospheric delay (ZTD) information.
Yongzhao Fan, Fengyu Xia, Zhimin Sha, Nana Jiang   +3 more
doaj   +1 more source

Characterization of Surface Pressure Accuracy and Spatial and Temporal Variations of The GPT3 And HGPT2 Models in The Chinese Region

Academic Journal of Science and Technology
The accuracy of surface pressure is crucial for obtaining high-precision zenith hydrostatic delay(ZHD). In order to verify the accuracy of the Global Pressure and Temperature model (HGPT2 ) and the Global Pressure and Temperature (GPT3) in obtaining ground air pressure in China, as well as the spatiotemporal variation characteristics of the errors of ...
Sen Li, Kai Wang, Haofei Ban, Chen Xue, Yongxiao Guo   +4 more
openaire   +1 more source

Quick review of pedagogical experiences using GPT-3 in education

Journal of Technology and Science Education
GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they ...
Joel Manuel Prieto Andreu, Antonio Labisa Palmeira   +1 more
doaj   +1 more source

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

Atmosphere
The tropospheric Zenith Wet Delay (ZWD) is one of the primary sources of error in Global Navigation Satellite Systems (GNSS). Precise ZWD modeling is essential for GNSS positioning and Precipitable Water Vapor (PWV) retrieval.
Yin Wu, Lu Huang, Wei Feng, Su Tian
doaj   +1 more source

Using cognitive psychology to understand GPT-like models needs to extend beyond human biases. [PDF]

Proc Natl Acad Sci U S A, 2023
Stella M, Hills TT, Kenett YN.
europepmc   +1 more source

FastPersist: Accelerating Model Checkpointing in Deep Learning

Model checkpoints are critical Deep Learning (DL) artifacts that enable fault tolerance for training and downstream applications, such as inference. However, writing checkpoints to persistent storage, and other I/O aspects of DL training, are mostly ...
He, Yuxiong, Ruwase, Olatunji, Wang, Guanhua, Xie, Bing   +3 more
core  

RETRACTED: Integration of GPT3 and Dialog GPT Framework in Mental Health Chatbot - A Systematic Literature Research

Abstract The authors have requested that this preprint be removed from Research Square.
Dhanraj A Nandurkar, Siti S. Yuhaniz, Madhuri Sahu   +2 more
openaire   +1 more source