On 15 October 2024, Miklós Sebők and Rebeka Kiss held a course on the use of generative AI in research to 50+ researchers at HUN-REN. The course focused on the increasing significance of generative AI tools in academic research.
The full-day training was structured in three key parts. The first section introduced participants to the conceptual foundations of generative AI. The second section explored practical applications in research, such as prompt engineering, selecting appropriate AI models for different research tasks, and assessing the cost of different AI tools. In the third section, the course covered essential ethical and legal considerations, such as data management, how to properly cite the use of these tools, and how to comply with the requirements of academic journals.
Participants were encouraged to submit their own research questions and data in advance, for which they received tailored solutions using generative AI during the course.

The course syllabus is available here: https://poltextlab.com/wp-content/uploads/2024/10/GenAI_tematika.pdf.

The event was supported by the European Union within the framework of the RRF-2.3.1-21-2022-00004 Artificial Intelligence National Laboratory Program and the HUN-REN Hungarian Research Network.