The workshop offers a practical demonstration of a workflow for text clustering. During the workshop, we will become familiar with the basic preprocessing of textual data and the transformation of documents into a vector space. We will implement a simple workflow for clustering texts and then interactively explore and interpret the results.
Large Language Models (LLMs) are increasingly used in both research and applied settings, including Digital Humanities (DH) in the broadest sense. To work with them effectively, researchers must understand not only their conceptual foundations but also the practical aspects of deployment, inference, and evaluation. This hands-on workshop introduces participants to the practical use of LLMs …
This seminar provides the foundational knowledge for the next seminar, Adapting and Fine-tuning LLMs – a Hands-on Approach for DH. Large language models are changing the way we write, read, and do intellectual jobs. We present the working of the transformer architecture of neural networks and focus on the decoder models, which are used in …
Currently, large language models (LLMs) are redefining methodological approaches in many scientific areas, including digital humanities in areas such as linguistics, social sciences, literary studies, historiography, journalism, political science, folkloristics, etc. Harnessing their immense potential to digest and analyse large amounts of text, LLMs can provide complex insights into complex phenomena. LLMs are pretrained on …