We are dedicated to advancing the fields of machine learning and data science, with a particular focus on deep representation learning for sequentially ordered data such as biomedical time series and natural text. We research and develop cutting-edge methods to advance medical diagnostics and natural language technologies, while educating and mentoring the future generation of machine learning experts. We are located at the Aachen University of Applied Sciences, Germany.
🎓 We celebrate Tobias Bornheim who successfully defended his Master thesis on Prompt Engineering vs QLoRA Fine-Tuning of Large Language Models! We are grateful for Tobias' exceptional dedication, which has been instrumental in achieving our three top placings in international NLP competitions - a testament to his invaluable contribution to our team. 🙏
🏆 Our team won the 2nd place in the international competition GermEval 2023 on speaker attribution in German parliamentary debates! Congratulation to all team members! 👏 Our approach is based on LoRA-training of large language models (Llama 2 70B). Find out more.