AI at HU Berlin
Generative AI tools[1], such as ChatGPT is experiencing rapid development and is increasingly being applied to more and more areas—even in the professional context of Humboldt University employees.
In this regard, as a university, we aim to constructively engage with these developments and safely integrate them into our daily work. Additionally, we must meet the requirements for data protection and data security.
An AI guideline for HU is being developed, which will gradually be expanded into an AI policy. Practical examples will also be continuously added to facilitate entry.
AI Offerings at the HU
- Provision of data protection-compliant 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 digital teaching and learning landscape of HU (HDL3), including an interface to HU-Moodle
Data protection-compliant AI Large Language Models (LLM)
1. Language Models at HU
Currently, the CMS offers two language models that can be used in dialogue form or for programming support.
Unlike commercial offerings, inputs (prompts) are not stored after the chat is closed and are not used for further development of the model. Personal information or personal data remains confidential, as no one outside the current chat has access to it. Logging does not occur.
All models can only be used within the HU network or via VPN.
2. HPC@HU - High Performance Computing Cluster for research
With HPC@HU, the CMS of HU is launching an innovative high-performance computing offering for research to make hardware and software for high-performance computing easily accessible to all researchers and teachers at HU in a resource-efficient manner.
Currently, interested parties can apply for a test access to the "Azimuth" platform. Please contact hpc-support@hu-berlin.de for this purpose. HPC@HU is currently only accessible from the HU VPN.
3. JupyterHub in teaching (JH)
JupyterHub is an open source tool that allows students, teachers and researchers to run interactive Jupyter notebooks on a powerful HU environment without additional installations for prototyping, data analysis and data visualization in the browser. To use the JupyterHub, you need an HU account. The JupyterHub is freely accessible from the web.
Link: https://jupyterhub.hu-berlin.de
4. AI Tools
In the AI Tools, additional tools related to generative AI will be created in the future. In addition to the LLMs, a transcription service and a tool for summarizing documents have already been created. Further information and links can be found in the AI Tools.
Link: https://ki-tools.cms.hu-berlin.de
[1] Artificial intelligence (AI) refers to algorithms that imitate human cognitive abilities. Generative AI in this sense refers to the use of AI to analyze patterns and structures in existing data in order to generate new content in various formats such as text, music, computer code, images or videos.