Results 81 to 90 of about 98,573 (298)

Artificial intelligence and me: writing the editorial together with ChatGPT

open access: yesRevista Eletrônica de Ciência Administrativa, 2022
Luciano Rossoni, Chat GPT
doaj   +1 more source

Faculty assessment of generative AI’s impact on education and its associated risks

open access: yesОбразование и наука
Introduction. Generative artificial intelligence (GenAI) offers new didactic opportunities, facilitating the shift from reproductive teaching methods to addressing problems of greater cognitive complexity.
E. A. Pospelova
doaj   +1 more source

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

open access: yesAdvanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou   +13 more
wiley   +1 more source

ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o [PDF]

open access: yesFrontiers in Artificial Intelligence
Background Large language models such as ChatGPT hold promise as rapid “curbside consultation” tools in laboratory medicine. However, their ability to generate consistent and clinically reliable reference intervals—particularly in the absence of contextual clinical information—remains uncertain.
Meyer, Annika   +2 more
openaire   +2 more sources

Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions [PDF]

open access: yes
Kosei Tomita,1 Takashi Nishida,2 Yoshiyuki Kitaguchi,3 Koji Kitazawa,4,* Masahiro Miyake5,* 1Department of Ophthalmology, Kawasaki Medical School, Okayama, Japan; 2Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department ...
Kitaguchi Y   +4 more
core  

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Dynamics of General Purpose Technologies in an Open Economy [PDF]

open access: yes
While the Helpman-Trajtenberg model is successful in explaining the macroeconomic cycle generated by GPT in the context of a closed economy, open-economy implications regarding GPT have received scant attention.
Chung, Jaiho, Hwang, Joon Ho
core  

Research difference between GPT-2 and GPT-3

open access: yes, 2023
The field of natural language processing has witnessed significant advancements in recent years, with the advent of cutting-edge language models like GPT-2 and GPT-3.
Пономаренко, Д. Р.
core  

Integrating Genetics With Epidemiological Measurements Identifies Burden QTLs of Inflammatory Bowel Disease across 20 Countries

open access: yesAdvanced Science, EarlyView.
The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun   +27 more
wiley   +1 more source

PARAMETER EFFICIENT FINE-TUNING AND OVERFITTING IN GPT LARGE LANGUAGE MODELS: A METRIC-BASED COMPARISON

open access: yesЕлектроніка та інформаційні технології
Background. Building upon previous research, this study conducts an exploration into Large Language Models (LLMs), with an emphasis on the fine-tuning and assessment of LLaMA-3.1 for instructional tasks. LLaMA-3.1, which is a new generation model and has
Bohdan Pavlyshenko, Ivan Bulka
doaj   +1 more source

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