Just read 'Using LLMs and Knowledge Graphs to Improve ML Interpretability' paper

This paper explores combining large language models with knowledge graphs to enhance interpretability in manufacturing machine learning models. As AI adoption grows in industrial settings, regulatory and safety requirements demand better explainability. The approach could bridge the gap between complex neural networks and human-understandable decision-making in production environments.