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AgenticTwin: LLM Framework for Anomaly Detection in Digital Twins

US & West · 12 Aug

The AgenticTwin framework integrates large language models with a digital twin for anomaly detection, enabling operators to ask natural-language questions and receive explanations grounded in classifier outputs.

Why it matters

Integrating LLMs with digital twins improves interpretability and management of complex systems.

Relevant to DT products

DTE DTP

Original headline: AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection

Read the original: arXiv API — полнотекстовый поиск "digital twin"

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

AgenticTwin: LLM Framework for Anomaly Detection in Digital Twins

Why it matters

Relevant to DT products

Related

AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

A Model-Centric DevOps Architecture for DEVS-Based Digital Twin Simulation Services

Plant Equivalent Controller Realizations for Attack-Resilient Cyber-Physical Systems