Empowering IoT with Generative AI: Applications, Case Studies, and Limitations

Abstract

The rise of the Generative Pre-Trained Transformer(GPT) language model, more commonly used as ChatGPT has brought a spotlight on the ever-developing field of Generative AI (GAI).} With current advancements in graphics processing units (GPUs), it has become easier to train and use deep generative models. Similarly, the developments in edge computing have made it possible for us to make the most of GAI's potential for numerous use cases in IoT. In this article, we explore the prospects of combining GAI with Internet of Things (IoT) technology to create innovative solutions for several areas where these devices fall short. Specifically, we dive into how GAI can help address the challenges posed by data insufficiency and incompleteness in IoT systems, by generating synthetic data that can be used to train other deep models. We also discuss how GAI can be used to personalize content generated by IoT devices along with other applications of the synergy. Additionally, we also delve into the real-world scenarios where the technology shall be implemented. We conclude with the limitations of GAI technology for IoT applications which can be worked upon in the future.