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 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.
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