Search Results for author: Jeff Talbert

Found 3 papers, 1 papers with code

Institutional Platform for Secure Self-Service Large Language Model Exploration

no code implementations1 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.

Language Modelling Large Language Model

CLASSify: A Web-Based Tool for Machine Learning

no code implementations5 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.

Classification

Local Large Language Models for Complex Structured Medical Tasks

1 code implementation3 Aug 2023 V. K. Cody Bumgardner, Aaron Mullen, Sam Armstrong, Caylin Hickey, Jeff Talbert

This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks.

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