no code implementations • 1 Feb 2024 • V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert
This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessible.
no code implementations • 1 Feb 2024 • Aaron Mullen, Samuel E. Armstrong, Jasmine Perdeh, Bjorn Bauer, Jeffrey Talbert, V. K. Cody Bumgardner
This article proposes a system that combines results from several types of models, all of which are trained on different data signals.
no code implementations • 5 Oct 2023 • Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert, V. K. Cody Bumgardner
Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent researchers from utilizing this technology.
1 code implementation • 22 Aug 2022 • Samuel E. Armstrong
Many works in biomedical computer science research use machine learning techniques to give accurate results.