Results 71 to 80 of about 2,779 (194)

Độ chính xác của mô hình GPT3 và ảnh hưởng của nó vào định vị điểm chính xác cao ở khu vực biển Đông

open access: yesTạp chí Khoa học Đo đạc và Bản đồ, 2021
Chúng tôi trích lọc độ trễ đối lưu từ 19 ngày dữ liệu GNSS (29/10 đến 16/11/2020) nằm trong cao điểm mùa mưa bão ở khu vực biển Đông của 2 trạm GNSS thường trực tại Philippines và Việt Nam. Khi so sánh với kết quả tính độ trễ đối lưu từ mô hình GPT3, độ lệch lớn nhất lên đến hơn 1 dm.
Ngọc Lâu Nguyễn, Anh Dũng Phạm
openaire   +2 more sources

Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay

open access: yesGeophysical Research Letters, Volume 52, Issue 2, 28 January 2025.
Abstract Kinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface.
Peng Yuan   +9 more
wiley   +1 more source

Knowledge of cultural moral norms in large language models

open access: yes, 2023
Moral norms vary across cultures. A recent line of work suggests that English large language models contain human-like moral biases, but these studies typically do not examine moral variation in a diverse cultural setting.
Ramezani, Aida, Xu, Yang
core  

How the technologies behind self‐driving cars, social networks, ChatGPT, and DALL‐E2 are changing structural biology

open access: yesBioEssays, Volume 47, Issue 1, January 2025.
Deep learning, a brain inspired field of computer science, revolutionizes structural biology. I summarize how convolutional neural networks (CNNs), large language models (LLMs), denoising diffusion probabilistic models (DDPMs)/Noise conditional score networks (NCSNs), and graph neural networks (GNNs) have impacted protein structure prediction, inverse ...
Matthias Bochtler
wiley   +1 more source

CYGENT: A cybersecurity conversational agent with log summarization powered by GPT-3 [PDF]

open access: yes
In response to the escalating cyber-attacks in the modern IT and IoT landscape, we developed CYGENT, a conversational agent framework powered by GPT-3.5 turbo model, designed to aid system administrators in ensuring optimal performance and uninterrupted ...
Balasubramanian, Prasasthy   +2 more
core   +3 more sources

SHAtropE—A Regional Gridded ZTD Model for China and the Surrounding Areas

open access: yesRemote Sensing, 2020
A regional zenith tropospheric delay (ZTD) empirical model, referred to as SHAtropE (SHanghai Astronomical observatory tropospheric delay model—Extended), is developed and provides tropospheric propagation delay corrections for users in China and ...
Junping Chen   +4 more
doaj   +1 more source

Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMs [PDF]

open access: yes
Despite the growing utilization of large language models (LLMs) in cyber defense operations, their integration within intrusion detection systems (IDS) remains substantially underexplored. This paper proposes a novel approach to generating human-readable
Ali, Tarek   +4 more
core   +1 more source

Utilizing large language models for EFL essay grading: An examination of reliability and validity in rubric‐based assessments

open access: yesBritish Journal of Educational Technology, Volume 56, Issue 1, Page 150-166, January 2025.
Abstract This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student
Fatih Yavuz   +2 more
wiley   +1 more source

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

open access: yes, 2023
Retrieval augmented models show promise in enhancing traditional language models by improving their contextual understanding, integrating private data, and reducing hallucination.
Couturier, Camille   +5 more
core  

Privacy preserving large language models: ChatGPT case study based vision and framework

open access: yesIET Blockchain, Volume 4, Issue S1, Page 706-724, December 2024.
We propose the conceptual model called PrivChatGPT, a privacy‐preserving model for LLMs that consists of two main components, that is, preserving user privacy during the data curation/pre‐processing together with preserving private context and the private training process for large‐scale data.
Imdad Ullah   +7 more
wiley   +1 more source

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