This research explores how Large Language Models can transform digital twin technology, creating more accurate virtual representations of physical manufacturing systems.

• Integrates real-time data with computational models for continuous monitoring and optimization
• Bridges the physical-digital divide in manufacturing environments
• Leverages recent advancements in communication, computing, and control technologies
• Addresses engineering challenges in system modeling and simulation

For engineering teams, this approach offers powerful new capabilities for predicting system performance, optimizing operations, and enhancing digital transformation initiatives across industrial applications.

Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges