AI at HU Berlin
The Humboldt University of Berlin promotes the use of artificial intelligence in research, teaching, and administration. The Computer and Media Service (CMS) is developing its own infrastructure based on open-source products, which can be used easily and in compliance with data protection regulations.
As a university, we aim to engage constructively with the developments in generative artificial intelligence[1] and integrate it securely into our daily work routines. At the same time, we must meet the requirements regarding data protection and data security.
To this end, a KI guideline for the HU is being developed, which will gradually evolve into a comprehensive KI policy. The introduction of KI tools and the implementation of common use cases are designed to ensure the easiest possible entry.
AI Offerings at the HU
- Provision of data protection-compliant AI tools based on various large language models (LLMs) for use in research, teaching, and administration
- HPC@HU for research (High Performance Computing Cluster)
- Establishment of a JupyterHub and its integration into the HU’s digital teaching and learning landscape (HDL3), including interface to HU-Moodle
1. AI Tools
The AI tools represent an expanding collection of tools from the field of generative AI. Based on LLMs running on the HU’s infrastructure in compliance with data protection regulations, there are specialized applications for text processing, audio file handling, image recognition, and much more.
2. HPC@HU – High Performance Computing Cluster
With HPC@HU, the CMS of the HU launches an innovative high-performance computing offering for research, making resource-efficient hardware and software for high-performance computing easily accessible to all researchers and teaching staff at the HU.
Currently, interested parties can apply for a test access to the platform "Azimuth." Please contact hpc-support@hu-berlin.de for this. HPC@HU is currently accessible only from within the HU’s VPN.
3. JupyterHub
JupyterHub is an open-source tool that enables students, teaching staff, and researchers to run interactive Jupyter Notebooks on a powerful HU environment directly in the browser, without requiring additional installations. Jupyter Notebooks are well-suited for prototyping, data analysis, data visualization, and computational essays. To use the JupyterHub, a HU account is required. The JupyterHub is freely accessible from outside the university network.