Join us on December 10 for a webinar exploring the most transformative AI applications of our time—ChatGPT. Discover how large language models like ChatGPT are built and gain insights into their immense scale and capabilities. Dr. Zijian Győző Yang, a leading researcher at the HUN-REN Hungarian Research Centre for Linguistics, will guide us through the world of AI language models, including the groundbreaking development of the Hungarian PULI models. Whether you're an AI enthusiast, developer, or simply curious about how these technologies work, this webinar promises to deepen your understanding of the future of AI in language technology.
REGISTRATION
Date: 10 December, Tuesday 2024, 10:00 and 11:30 am (CET).
Participation is free but registration for the webinar is required!
This webinar is only available for the registered members of the Alumni Network Hungary.
Registration deadline: 9 December, 11:00 am
Summary of the webinar:
Over the past year, ChatGPT has become one of the most successful artificial intelligence applications. But how does ChatGPT work? What's under the hood? How can an application like this be built from scratch? What is a large language model, and how "large" is a large language model? In Hungary, the HUN-REN Hungarian Research Centre for Linguistics is the only institute building large language models and applications like ChatGPT from the very start. Dr. Zijian Győző Yang, a researcher at this institute, is responsible for developing such models in Hungarian with a focus on the current PULI language models. In his presentation, he will explain how ChatGPT works, how such applications can be built from the beginning, and will provide an update on the development of large Hungarian language models.
About the presenter:
Dr. Zijian Győző Yang is a research fellow at the HUN-REN Hungarian Research Centre for Linguistics. He earned his PhD in the field of human language technology at Pázmány Péter Catholic University. As part of the Erasmus program, he studied artificial intelligence at Katholieke Universiteit Leuven. His research areas include large language models, machine translation, text summarization, semantic categorization of texts, and the detection and correction of textual errors. He is recognized for his work on the current Hungarian large language models, specifically the PULI language models.
Come and join this inspiring webinar on 10 December!