In this presentation, large language models (LLMs) are introduced as a tool in the social science research workflow. LLMs can be used for a multitude of possible tasks, but in order to use them effectively, an understanding of how they work is needed - both from a technical and data quality perspective. The presentation introduces the internal logic of LLMs and what they can be used for, as well as different types of LLMs, access options, and prompting strategies. Additionally, it discusses how these decisions impact data quality and explores mitigation strategies and reporting standards for better reproducibility. This presentation is the sixth part of a set of presentations on the topic of "Tools and Workflows". Presentation available after free registration on the GESIS Training platform and enrolment in the Individual Training Program: https://elearning.gesis.org/course/view.php?id=157 The presentation can be found via: https://elearning.gesis.org/course/section.php?id=2574