Term of Award
Spring 2024
Degree Name
Master of Science, Information Technology
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
Digital Commons@Georgia Southern License
Department
Department of Information Technology
Committee Chair
Hayden Wimmer
Committee Member 1
Meenalosini Vimal Cruz
Committee Member 2
Jongyeop Kim
Abstract
The integration of Machine Learning (ML) and Artificial Intelligence (AI) algorithms has radically changed predictive modeling and classification tasks, enhancing a multitude of domains with unprecedented analytical capabilities. Predictive modeling leverages ML and AI to forecast future trends or behaviors based on historical data, while classification tasks categorize data into distinct classes, from email filtering to medical diagnosis. Concurrently, text-to-image generation has emerged as a transformative potential, allowing visual content creation directly from textual descriptions. These advancements are pivotal in design, art, entertainment, and visual communication, as well as enhancing creativity and productivity. This work explores three significant studies in ML and AI research, focusing on predictive and classification solutions on cloud platforms. First, a study evaluates regression-type ML models across cloud platforms, offering critical insights for optimizing models and deployment strategies. Second, research on customizing large language models for email classification addresses cybersecurity concerns, bolstering email security measures. Moreover, this work demonstrates how LLMs can be customized via training existing models on new data. Finally, investigation into text-to-image generation diffusion models highlights the evolving landscape of AI-driven visual content generation while informing future advancements and applications. Together, these studies advance the capabilities and applications of ML and AI technologies, addressing real-world challenges and driving innovation.
Recommended Citation
Jamal, Suhaima, "Applications of Predictive and Generative AI Algorithms: Regression Modeling, Customized Large Language Models, and Text-to-Image Generative Diffusion Models" (2024). Electronic Theses and Dissertations. 2715.
https://digitalcommons.georgiasouthern.edu/etd/2715
Research Data and Supplementary Material
No
