This course is held in the Czech language.

Annotation: Large Language Models (LLMs) open new possibilities for data processing and analysis in scientific research. Many researchers today face the challenge of effectively using these tools when working with diverse datasets and producing scientific publications. This course will provide participants with a comprehensive overview of the use of LLMs in the data analysis process, from data preparation to processing to interpretation of results. Emphasis will be placed on practical applications, demonstrations of real use cases, and discussion of the benefits and limitations of this technology in an academic setting. The presenter will focus on the most commonly used chatbots and show their basic functions and application possibilities in different scientific fields. At the same time, the ethical aspects and potential risks associated with using LLMs in research will be discussed, helping participants to critically evaluate the appropriateness of their use in their own scientific practice.

Benefits for the attendees: Upon course completion, participants should be able to begin using large language models for basic data analysis in their research, critically evaluate the outputs of these models, and recognize their benefits and limitations. The acquired knowledge will enable them to take an innovative approach to research data processing, formulate effective prompts for LLMs, and, at the same time, reflect on the ethical aspects of using generative AI in an academic setting, contributing to the development of their research competencies in the era of digital transformation of science.

Level: beginner

Language: Czech

Prerequisites: Attendance at the course does not require specific prior knowledge, but experience using commonly available chatbots is an advantage.

Tutor: Mgr. Michaela Liegertová, Ph.D.