Results 91 to 100 of about 776 (171)

A Self-Supervised Uncertainty-Hybrid Machine Learning Approach for Modeling Tropospheric Zenith Wet Delay

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith wet delay (ZWD) is one of the major sources of errors in the Global Navigation Satellite System (GNSS) positioning. Existing machine learning (ML) based ZWD models have limitations in their generalization capabilities and in modeling the high ...
Mohamed H. Sharouda, Weixing Zhang, Zhixiang Mo, Mohamed M. Elisy, Hongxing Sun, Mohamed Hosny, Yidong Lou   +6 more
doaj   +1 more source

Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]

Proc Conf Assoc Comput Linguist Meet, 2023
Shaib C, Li ML, Joseph S, Marshall IJ, Li JJ, Wallace BC.   +5 more
europepmc   +1 more source

Self-Instruct: Aligning Language Models with Self-Generated Instructions

, 2023
Large "instruction-tuned" language models (i.e., finetuned to respond to instructions) have demonstrated a remarkable ability to generalize zero-shot to new tasks.
Wang, Yizhong, Mishra, Swaroop, Kordi, Yeganeh, Hajishirzi, Hannaneh, Khashabi, Daniel, Smith, Noah A., Liu, Alisa   +6 more
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Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall

Remote Sensing
Water vapor plays a crucial role in maintaining global energy balance and water cycle, and it is closely linked to various meteorological disasters. Precipitable water vapor (PWV), as an indicator of variations in atmospheric water vapor content, has ...
Tian Xian, Ke Su, Jushuo Zhang, Huaquan Hu, Haipeng Wang   +4 more
doaj   +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

A China-Specific Near-Real-Time GNSS Water Vapor Retrieval Model Based on LightGBM

Remote Sensing
Atmospheric water vapor is a key atmospheric variable that regulates weather variability, the hydrological cycle, and climate processes. GNSS-based water vapor retrieval provides an effective approach for continuous and near-real-time monitoring of ...
Mingchen Zhu, Hui Chang, Zhikang Li, Qian Zhang, Xingwang Fan   +4 more
doaj   +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

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

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

Prompt engineering as a modern competence of managers and teachers [PDF]

At the end of 2022, a technological revolution took place in the field of digital technologies. The technology of generative artificial intelligence became available to all users and became popular among users.
Бардадим, О. В.
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