Reply to: A response to loneliness and suicide mitigation for students using GPT3-enabled chatbots. [PDF]
This reply addresses concerns raised in the Matters Arising letter, emphasizing the rigor of our empirical study on student well-being outcomes with ISAs. We clarify methodological decisions, address speculative claims regarding Replika's marketing and usage, and highlight our study's focus on peer-reviewed, evidence-based findings.
Maples B, Cerit M, Vishwanath A, Pea R.
europepmc +3 more sources
Forecasting GNSS Zenith Troposphere Delay by Improving GPT3 Model with Machine Learning in Antarctica [PDF]
Antarctica has a significant impact on global climate change. However, to draw climate change scenarios, there is a need for meteorological data, such as water vapor content, which is scarce in Antarctica. Global navigation satellite system (GNSS) networks can play a major role in overcoming this problem as the tropospheric delay that can be derived ...
Tianhe Xu, Luisa Bastos, Song Li
exaly +3 more sources
GNSS-retrieved precipitable water vapour in the Atlantic coast of France and Spain with GPT3 model
AbstractWater vapour is a critical atmospheric parameter to understand the Earth's climate system and it is characterized by a complex variability in time and space. GNSS observations have become an important source of information of the water vapour, thanks to its high temporal and spatial resolution.
Raquel Perdiguer Lopez
exaly +4 more sources
Refining relative tropospheric delay modeling of GPT3 for large-height-difference RTK positioning
Real-Time Kinematic (RTK) positioning technique, with centimeter-level accuracy, is widely used in landslide deformation and building structural health monitoring. However, in large-height-difference scenarios where the height difference between the base
Peida Wu +8 more
doaj +2 more sources
High-Precision All-Weather FY-4A PWV Reconstruction Models Using GPT3 and ERA5 Data
All-weather, high-resolution precipitable water vapor (PWV) is beneficial for weather monitoring. Although FY-4A PWV provides high spatiotemporal resolution, it is affected by weather conditions, resulting in extensive data gaps. To obtain all-weather FY-
Xiaoning Zhang +7 more
doaj +2 more sources
Taught by the Internet, Exploring Bias in OpenAIs GPT3
This research delves into the current literature on bias in Natural Language Processing Models and the techniques proposed to mitigate the problem of bias, including why it is important to tackle bias in the first place. Additionally, these techniques are further analysed in the light of newly developed models that tower in size over past editions.
Ali Ayaz, Aditya Nawalgaria, Ruilian Yin
openaire +2 more sources
Author Correction: Loneliness and suicide mitigation for students using GPT3-enabled chatbots [PDF]
Maples B, Cerit M, Vishwanath A, Pea R.
europepmc +3 more sources
High-Precision ZTD Model of Altitude-Related Correction
Zenith tropospheric delay (ZTD) is one of the main error sources in space geodesy. The existing regional or global models, such as Global Pressure and Temperature 3 (GPT3), Global Tropospheric model, Global Hopfield, and Shanghai Astronomical observatory
Qingzhi Zhao +5 more
doaj +1 more source
GPT3-to-plan: Extracting plans from text using GPT-3
Operations in many essential industries including finance and banking are often characterized by the need to perform repetitive sequential tasks. Despite their criticality to the business, workflows are rarely fully automated or even formally specified, though there may exist a number of natural language documents describing these procedures for the ...
Alberto Olmo Hernandez +2 more
openaire +2 more sources
VMF3/GPT3: refined discrete and empirical troposphere mapping functions [PDF]
Incorrect modeling of troposphere delays is one of the major error sources for space geodetic techniques such as Global Navigation Satellite Systems (GNSS) or Very Long Baseline Interferometry (VLBI). Over the years, many approaches have been devised which aim at mapping the delay of radio waves from zenith direction down to the observed elevation ...
Daniel Landskron, Johannes Böhm
openaire +2 more sources

