Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg

German Large Language Legal Model (GLLLM)

146

Nicht eingeplant

20m

Von-Melle-Park 4

Poster

Sprecher

Chris Biemann (House of Computing and Data Science)Dr. Martin Semmann (House of Computing and Data Science)

Beschreibung

Our project's primary focus is to systematically collect legal documents in German from European Union administrative tiers. This effort enables seamless access to German legislation for researchers, lawyers, and citizens alike. Using intuitive Python scripts, we've automated data collection from publicly accessible websites, streamlining the process for users. Furthermore, we employ fine-tuning techniques on models like BERT and GPT to enhance their ability to comprehend and extract information from German legal texts. Our initiative is driven by the conspicuous absence of a comprehensive German legal document database. By creating this valuable and versatile resource, we aim to bridge this gap, catering to a diverse range of users, including the general public, researchers, and legal professionals.

Keywords

Legal documents
German legislation
LLLM
Fine-tuning for legal documents