Meeting with Michal Valko, expert on large language models
The National Supercomputing Centre and the National Competence Centre for HPC, represented by Lucia Malíčková, met with prominent Slovak scientist Michal Valko, who is among the world’s leading experts in artificial intelligence and machine learning. They discussed opportunities for future collaboration, with a particular focus on leveraging Slovakia’s HPC capacities to support advanced research in large language models and algorithms that require minimal human feedback.
Michal Valko currently serves as Chief Models Officer at a stealth startup, is a researcher at the prestigious French institute Inria, and lectures at ENS Paris-Saclay. In 2024, he also became the principal engineer for Llama at Meta, where he is building the online reinforcement learning infrastructure and conducting research for the Llama 3 models.
His research focuses on designing algorithms that can operate with as little human intervention as possible. This includes deep reinforcement learning, bandit algorithms, unsupervised learning, as well as so-called self play — learning by comparing one’s own outcomes. Recently, he has concentrated on data representations, language models, and developing deep learning algorithms with solid theoretical foundations. He is currently working on algorithmic solutions that enable more efficient fine-tuning and better alignment of large language models (LMMs).
Michal Valko comes from Slovakia, where he attended the Alejová Gymnasium in Košice. Looking back, he especially values the close collaboration between this school and the Faculty of Science at UPJŠ, which sparked his interest in science. He went on to study artificial intelligence and mathematical methods in computer science at the Faculty of Mathematics, Physics and Informatics of Comenius University. In 2011, he earned his PhD at the University of Pittsburgh under the supervision of Miloš Hauskrecht. He then completed his postdoctoral studies with Rémi Munos, with whom he later co-founded Google DeepMind Paris.
Throughout his career, he has also worked on projects with companies such as Intel, Adobe, Technicolor, and Microsoft Research. As early as 2009–2010, during an internship at Intel Labs in Silicon Valley, he contributed to the development of autonomous systems designed to help visually impaired people recognize faces.
The National Supercomputing Centre and the National Competence Centre for HPC will continue to actively seek opportunities to connect Slovakia’s HPC infrastructures with global leaders in the field of artificial intelligence. They believe that this meeting will also lay the groundwork for new ambitious initiatives.
All Hands Meeting in Estonia 30 Sep - V dňoch 23. – 25. septembra 2025 sa zástupkyne Národného kompetenčného centra pre HPC Halyna Hyryavets a Lucia Malíčková zúčastnili záverečnej konferencie projektov CASTIEL2, EuroCC2, EuroCC4SEE a Centier excelentnosti (CoEs), ktorá sa konala v Tallinne v Estónsku.
MATLAB WORKSHOP: Scaling Algorithms and Simulations Using Parallel Computing 25 Sep - Computationally intensive tasks, processing large volumes of data, and repeated simulation runs are everyday challenges in both science and industry. Modern approaches make it possible to significantly accelerate these processes by leveraging parallel computing and available hardware resources – from multiple CPU cores to GPU acceleration. MATLAB and Simulink offer a wide range of possibilities to efficiently utilize these resources without the need for specialized knowledge of GPU programming or complex HPC solutions.
The computing power of HPC brings new opportunities in the protection of the brown bear 23 Sep - Vysokovýkonné počítanie (HPC) predstavuje kľúčovú technológiu modernej doby, ktorá zásadne mení spôsob, akým vedci, výskumníci aj firmy riešia zložité problémy. Superpočítače dokážu spracovať obrovské objemy dát a vykonať miliardy výpočtov za sekundu – úlohy, ktoré by na bežných počítačoch trvali mesiace či roky, zvládajú v priebehu hodín alebo dní.