15.04.2026
Michael A. Hedderich Featured in “KI Pro” Podcast
Discussing Trust, Limitations, and Evaluation of LLMs From an Industry Perspective
MCML Junior Research Group Leader Michael A. Hedderich was recently interviewed by heise for their industry-focused “KI Pro” podcast. In the episode, he discusses key questions around large language models (LLMs), including how we can better understand their limitations and improve trust in their outputs.
The conversation offered valuable insights into how these topics are perceived from an industry perspective, particularly among practitioners and small and medium-sized enterprises (SMEs). It also highlighted the growing importance of reliable evaluation methods for LLMs in real-world applications.
The discussion builds on recent research conducted at MCML, including a Spotlight project on new approaches to evaluating LLM outputs, as well as a study on the reliability of knowledge probes for LLMs led by Raoyuan Zhang.
The podcast episode is available in German via heise’s “KI Pro” format.
Related
09.07.2026
MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026
Bolei Ma receives a Best Paper Award and an SAC Highlight Award at ACL 2026 for outstanding contributions to NLP research.
09.07.2026
Benjamin Lange Introduces AI to Elementary School Students
Benjamin Lange introduces AI to elementary school students as part of BR's MünchenHören 2026 outreach project.
08.07.2026
How Autonomous Systems Learn to Understand Their Environment
The team at the startup SE3 Labs has developed a spatial AI technology that uses images, videos, and map data to create realistic 3D models.
