#ml-transparency News & Analysis

Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing

Researchers present a novel method combining Large Language Models and Knowledge Graphs to enhance the interpretability of Machine Learning models in manufacturing environments. The approach stores domain-specific data and ML results in a structured knowledge graph, then uses an LLM to generate user-friendly explanations of ML predictions, demonstrating practical applicability in real-world manufacturing decision-making.