Please contact Dr. Works (keworks@fsu.eu) for additional help: Submission navigation links for Research Symposium Program Portal WF ‹ Previous submission Next submission › Submission information Submission Number: 36 Submission ID: 7681 Submission UUID: c7776181-25e7-40bb-9fa2-00cfe17cf218 Submission URI: /student-research/symposium/research-symposium-program-portal Submission Update: /student-research/symposium/research-symposium-program-portal?token=3OlfETayiloZOSNvouSfgu5oU6amU3KXQDH7e07wyDA Created: Sat, 02/01/2025 - 09:40 PM Completed: Sat, 02/01/2025 - 09:47 PM Changed: Sun, 04/06/2025 - 01:34 PM Remote IP address: 72.184.1.173 Submitted by: Anonymous Language: English Is draft: No Webform: Research Symposium Program Portal WF Submitted to: Student Research Symposium Program Portal Primary Student Contact First Name Primary Student Contact Last Name Pronouns Primary Student Contact FSU Student Email Photo of all individuals presenting this work portfolio1.png116.18 KB Remove Upload requirementsOne file only.2 MB limit. Major(s) of all individuals presenting this work Bio of all individuals presenting this work My journey into software development started in a trade school, where I was learning to fix cars. As a kid, I was always fascinated by how things work. I enjoyed taking things apart to either fix them or understand their mechanics. This curiosity eventually led me to an automotive apprenticeship at a local gas station, where I worked in the shop and at the front desk while attending trade school. That is when I first encountered the intersection of technology and problem-solving, often troubleshooting technical issues with the computer system and network. During this apprenticeship, I also learned how to code by creating web forms to replace paper forms and inserting the data directly into a database. I am focused on mastering C++ and Python, which are at the heart of the future of software development, especially with the rise of AI. In addition to my academic studies, I work on personal projects to deepen my understanding of artificial intelligence. I clean datasets and build machine-learning models on sentiment analysis and text summarization. These side projects help me stay hands-on with AI technologies and continue to improve my skills outside the classroom. Poster Title Abstract Natural Language Processing has seen rapid advancements in recent years, with large language models increasingly integrated into mainstream applications—such as Google’s Gemini, which now summarizes emails and chat logs in Gmail and Google Chat. This research project uses a dataset of CNN daily news articles to fine-tune a pre-trained, open-source model from the Hugging Face platform. The process involved extensive data cleaning, preprocessing, and model training. This presentation highlights the model architecture, the use of the Hugging Face platform, key challenges faced during fine-tuning, and performance metrics resulting from various training configurations. Research Mentor Name Research Mentor's College (or High School) Research Mentor's Department (or Subject) Research Mentor's Email Additional Research Mentor(s) Co-presenter(s) Keywords Poster Session/Number Work Complete Exploratory (the research question has been identified and design of approach is outlined) Presentation Modality Face to Face Poster session Synchronous Online Presentation Asynchronous Online Presentation Poster PDF or Powerpoint Upload Upload requirementsOne file only.100 MB limit. Poster Thumbnail Please take a screenshot of your poster to be a thumbnail on your Symposium Program Profile. Upload Upload requirementsOne file only.2 MB limit. I will be printing my poster CAPTCHA What code is in the image? Enter the characters shown in the image. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Save Leave this field blank
