Year: 2026
Type: dissertation
Abstract: How long will it be before our modern society is wrapped in generative AI without our discernible knowledge? What happens when the line between real and synthetic is practically non-existent? This study explores how a Qwen3-0.6B model, designed for mobile and edge deployment, can be fine-tuned to generate JSON-schematic data for workout and fitness. It shows that even smaller models are well-enough to design parsable output, ready to be used by an application - thus hiding its AI trademarks. In the future, studies on even smaller models may be appropriate, as well as discussions regarding its ethics.
Author: Angenius, Simon
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7208795050