As part of the dissemination plan for the Microidea project, the University of the Peloponnese proudly announces its activities for May. This month, the focus is on sharing insights and updates about the project, particularly highlighting its participation in the upcoming 25th EAAAI 2024 (Engineering Applications and Advances of Artificial Intelligence) conference.
The Microidea project addresses the growing need for lifelong learning and inclusive education by developing and implementing micro-credentials. These credentials, based on the ISO/IEC17024 certification and validation process, aim to bridge national certification systems with international standards. This innovative approach ensures that learning opportunities are flexible, relevant, and accessible to all, thereby enhancing employability and addressing the European Council’s recommendations on micro-credentials.
A significant milestone for the Microidea project is its involvement in the 25th EAAAI 2024 conference, previously known as EANN (Engineering Applications of Neural Networks). This prestigious forum has been renamed to encompass a broader spectrum of AI research areas and domains, reflecting the evolving demands of the 21st century. The conference is a hub for AI scholars and practitioners from academia and industry, offering a platform to share pioneering ideas, present research, and explore the future of AI.
The University of the Peloponnese will present research at EAAAI 2024, focusing on the comparison of commercial and open-source large language models (LLMs) in extracting key information from job postings in Greece’s tourism sector. This study aims to evaluate the performance differences between these models and assess their applicability in real-world information extraction tasks. The findings will contribute to understanding how practical LLMs are for tasks such as identifying job titles, companies, industries, locations, and skill sets, thereby showcasing the potential impact of AI on employment and education systems.
The research, titled “Comparative Analysis of Large Language Models in Structured Information Extraction from Job Postings,” is authored by Kyriaki Sioziou[1], Panagiotis Zervas1, Kostas Giotopoulos[2], and Giannis Tzimas1.
This study aims to bridge the gap between commercial and open-source LLMs in extracting structured information, contributing to both academic and practical advancements in AI applications within the tourism sector.
Microidea’s participation in EAAAI 2024 not only highlights its commitment to advancing AI research but also underscores its dedication to fostering transnational cooperation and mutual learning. The project’s pilot actions in the tourism sector aim to test solutions to current and future challenges, promoting sustainable and systemic impact. By empowering key stakeholders to develop and transfer innovative solutions, Microidea is at the forefront of shaping the future of education and training.
We invite all stakeholders and interested parties to follow our updates and engage with us through our project’s webpage and social media channels. Together, we can make significant strides towards a more inclusive and innovative future for lifelong learning.
