The Future of IoT and RF Intelligence through Large Language Models

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Abstract

The Internet of Things (IoT) and RF systems are entering a new era, one that is driven not just by better connectivity, but by contextual understanding, reasoning, and adaptability. This talk explores how Large Language Models (LLMs) are unlocking new dimensions in IoT and RF intelligence, enabling systems that don’t just sense and report, but interpret, decide, and communicate. We will discuss how LLMs can bridge the gap between human intent and machine execution, and between low-level signals and high-level insights, driving new applications of LLMs as optimizers and interpreters within the context of IoTs.