Mr. Veselin Andric defended his BSc thesis titleld “Prompt endineering for LLMs” at the Faculty for information systems and technologies. The devence took place on 2 Oct 2024 and it was done under mentorship of the EuroCC (NCC Montenegro) and HPC4S3ME teams’ members. This was a part of the effort to promote HPC and AI related technologies in the teaching curricula and research activities at UDG.
ABSTRACT – Prompt engineering is one of the primary areas of Natural language processing (NLP). It is a process that involves designing and improving inputs that are given to a language model such as ChatGPT, with a goal of getting wanted results. This dissertation investigates details of prompt engineering, it’s theoretical foundation, methodologies and practical uses in different tasks of NLP.
Mr. Veselin Andric defended his BSc thesis on Prompt EngineeringThe provided an overview of NLP, LLMs and prompt techniques
At the Avala Hotel in Budva, on September 27, 2024, as part of the international EPhEU event, the association of pharmacy organizations from Europe (September 26 to 28, 2024), a session on Module 6 of continuing education for Montenegrin pharmacists was held, titled “Artificial Intelligence in Pharmacy: Digital Challenges, Myths and Misconceptions Incorporated in Digital Media, the Need for New Competencies for Pharmacists.” This event gathered over 150 experts, both online and in person, from the field of pharmacy, aiming to discuss the role of artificial intelligence in transforming the pharmaceutical sector.
Mr Cakic gave a lecture on AI and applications in Pharmaceutical industry
Mr Stevan Čakić from UDG and NCC Montenegro gave a lecture on the history and development of AI, emphasizing its growing importance in pharmacy. Then a special attention was given to the application of AI in drug development, personalized therapy, and optimization of pharmaceutical services. The discussion addressed the potential of AI and HPC to reshape the way pharmacists perform their daily tasks, as well as the need to improve skills and knowledge to adapt to new technologies.
This hybrid event took place in Avala hotel in Budva and online with around 150 attendees
It was concluded that an interdisciplinary approach is crucial for the proper implementation of AI solutions in pharmacy. Experts from technology, pharmacy, and regulatory fields must work closely together to ensure that AI technologies are used in an ethical and efficient manner. This educational module confirmed that the pharmaceutical industry is on the brink of a major technological transformation, where AI will play a significant role, and the future of pharmacy will depend on the ability of its professionals to adopt new digital competencies.
On Friday, September 27, UDG welcomed Divya Siddarth, one of the 100 most influential young people in the field of artificial intelligence, as chosen by TIME magazine! Divya is a researcher at Microsoft Research, in the Political Economy and Social Technologies (PEST) department, and co-founder of the Collective Intelligence Project. Her work focuses on using technology to create fairer societies, with a particular emphasis on decentralized technologies, artificial intelligence and digital democracy. She was recently recognized as one of the key minds shaping the future of artificial intelligence in the service of the common good! The audience included students, researchers and industry representatives.
Ms Divya Siddarth is one of the 100 most influential young people in the field of artificial intelligenceIt was a pleasure to be a part of this discussion. There was over 200 people in the audienceMs Siddarth is a researcher at Microsoft Research and co-founder of the Collective Intelligence Project
At the Revolutionising Agriculture with HPC and AI: Real-World Applications conference, the project, AIMHiGH, was presented, with DigitalSmart as the coordinator. The project, implemented as part of the HPC Fortissimo initiative and funded through the Horizon 2020 FF4EuroHPC program, was titled AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms. Stevan Cakic presented experience with the AIMHiGH project that introduced cutting-edge HPC and AI/ML technologies that significantly impacted the poultry farming sector. One of the key achievements of the project was enabling real-time monitoring and data-driven insights. Farmers gained access to continuous, real-time surveillance of their poultry through edge cameras equipped with AI models. These models could analyze live footage to identify early signs of illness, stress, or abnormal behavior, allowing immediate intervention. This innovation improved animal welfare, minimized losses, and enhanced overall productivity on the farms.
In addition, the project provided an advanced solution for disease detection and prevention. The AI models developed during the project were capable of detecting subtle signs of illness long before they became visible to the human eye. This early detection allowed for more effective prevention and control, reducing the spread of diseases and ultimately leading to lower usage of antibiotics, which had a positive impact on both costs and animal health. Moreover, the project’s technological solutions helped optimize resource usage, particularly in terms of feed and water management. With real-time behavioral and health data from the birds, farmers could adjust feeding schedules and amounts according to actual needs, reducing waste and cutting down on unnecessary resource consumption. This not only reduced environmental impact but also contributed to more efficient and sustainable production practices.
Presenting HPC and deep learning appraoch
The project’s approach to automating monitoring and decision-making processes also had a transformative effect on production efficiency. By reducing the need for manual supervision, the system allowed farm workers to focus on more critical tasks, leading to higher production outputs while maintaining lower operational costs. A further advantage was the scalability and flexibility of the technology. The use of edge devices allowed these AI models to be easily deployed in various farm setups without requiring expensive infrastructure. This made the technology accessible to both large-scale operations and smaller farms, ensuring that the benefits of AI and HPC could reach a broader segment of the poultry farming industry. Throughout the project, collaboration with key partners played a crucial role. DunavNET contributed its expertise in AI, machine learning, IoT, and software development, while The University of Donja Gorica brought significant HPC expertise through NCC Montenegro and the FoodHub Centre of Excellence. Montenegrin companies Meso-promet Franca and Radinović Company participated actively in the evaluation and piloting phases of the project, ensuring the practical relevance and success of the solutions developed. Overall, the AIMHiGH project was fully aligned with the priorities of Montenegro’s S3 Smart Specialisation Strategy, making significant contributions to technological innovation in the poultry sector, while strengthening the local economy and supporting more sustainable farming practices.
Discussing experiment results and prospects for future work
NCC Montenegro is proud to announce its collaboration with DigitalSmart and Recrewty to HPC and AI for advancing HR management in companies. This partnership brings together leading experts in HPC, AI, and HR technology to create innovative solutions tailored for the HR industry. This effort will leverage HPC to develop scalable and efficient AI models that enhance HR processes such as recruitment, psychometric assessments, and decision-making. Recrewty with its ambition to develop AI-driven HR solutions, will focus on integrating machine learning algorithms for improved data processing of HR applications. DigitalSmarta will contribute its expertise in digital transformation and smart technologies to ensure the new model is robust and capable of meeting the demands of modern HR management.
Collaboration aimed at the use of HPC and AI tools to advance HR processes
Key outcomes of this collaboration include optimized AI models that can process large HR datasets more effectively using HPC, scalable HR solutions designed to meet the needs of companies, enhanced data processing capabilities to improve decision-making in recruitment and other HR areas, and a local and regional impact through the development of tools tailored for underrepresented languages and markets. This project aligns with NCC Montenegro’s mission to foster technological innovation in the region and highlights the growing importance of HPC and AI in transforming HR management across various industries.
Would you like to explore the transformative power of HPC and Artificial Intelligence in agriculture and learn about real-case application?
Join the webinar “Revolutionising Agriculture with HPC and AI: Real-World Applications on Tuesday, 24 September, 14:00-15:00 CET.
More info & registration ▶ https://www.sling.si/en/news/ncc-sling-webinar-revolutionising-agriculture-with-hpc-and-ai-real-world-applications/
HPC4S3ME team members will participate in the webinar and also present their experiences in developing computer vision solutions for precision farming.
This collaboration initiated by Inovativa, a web programming start up interested in AI powered development, focuses on leveraging Generative AI (GenAI) and different LLMs to revolutionize web design by automating key elements such as landing page creation, dynamic content generation, responsive design, and user interface optimization.
The research aims to evaluate the effectiveness of both commercial and open-source AI tools, comparing their capabilities and performance across various scales. Additionally, the project explores the potential for direct in-browser AI implementations, offering a more seamless and accessible approach to web development. By harnessing the power of AI and HPC, the project aspires to democratize advanced web development techniques, making them accessible to a wider audience of developers and businesses, and fostering a new era of AI-human collaboration in digital content creation.
As a collaborative effort between academic institutions and industry partners, this initiative benefits from the technical expertise of the Faculty for Information Systems and Technology from the University of Donja Gorica (FIST/UDG), which leads the AI and machine learning analysis. Meanwhile, practical testing, implementation, and economic evaluation are driven by industry specialists. High Performance Computing (HPC) plays a crucial role in managing the computational demands of evaluating advanced AI models.This collaboration highlights the integration of AI research with real-world application, aiming to enhance efficiency and innovation in web development practices.
