Evaluation of large language models – core function of corporate AI governance

The evaluation of large language models (LLM) has evolved from an optional quality step to a basic function of corporate AI governance. This process is structured and is firmly anchored in all phases of the model lifecycle. The evaluation takes place on the basis of clearly defined performance criteria, which are precisely matched to the respective task profile of the model. The evaluation data should correspond to the input types that the model expects in productive operation. Essential components of this process are structured human evaluation and continuous monitoring – not just before deployment, but throughout the model’s entire lifecycle.

Source: https://roboticsandautomationnews.com/2026/04/10/how-to-run-llm-evaluation-for-better-ai-performance/100499