Daniel Seifert arbeitet seit April 2023 als Data Scientist am Fraunhofer IESE. Er beschäftigt sich hauptsächlich mit den Themen Natural Language Processing mittels Large Language Models und mit der Erklärbarkeit von KI-Modellen. Zuvor studierte er Informatik an der Rheinland-Pfälzischen Technischen Universität Kaiserslautern-Landau (RPTU) mit dem Schwerpunkt Software Engineering und arbeitete parallel als wissenschaftliche Hilfskraft im Bereich Safety Engineering am Fraunhofer IESE. -- Daniel Seifert has been working as a Data Scientist at Fraunhofer IESE since April 2023. He is mainly working on the topics of Natural Language Processing using Large Language Models and the explainability of AI models. Previously, he studied Computer Science at the Technical University of Kaiserslautern-Landau (RPTU) with a focus on Software Engineering and worked in parallel as a student research assistant in the field of Safety Engineering at Fraunhofer IESE.
Enhancing datasets by adding input variations or data quality deficits is often done using data augmentation approaches. These approaches employ classical image processing techniques, Deep Learning models like Convolutional Neural Networks (CNNs), or Generative Adversarial Networks (GANs). With the rise…
