Equipped with sensing, networking, and computing capabilities, Internet of
Things (IoT) such as smartphones, wearables, smart speakers, and household
robots have been seamlessly weaved into our daily lives. Recent advancements in
Generative AI exemplified by GPT, LLaMA, DALL-E, and Stable Difussion hold
immense promise to push IoT to the next level. In this article, we share our
vision and views on the benefits that Generative AI brings to IoT, and discuss
some of the most important applications of Generative AI in IoT-related
domains. Fully harnessing Generative AI in IoT is a complex challenge. We
identify some of the most critical challenges including high resource demands
of the Generative AI models, prompt engineering, on-device inference,
offloading, on-device fine-tuning, federated learning, security, as well as
development tools and benchmarks, and discuss current gaps as well as promising
opportunities on enabling Generative AI for IoT. We hope this article can
inspire new research on IoT in the era of Generative AI.

利用产生式人工智能（Generative AI）将物联网（IoT）推向新水平，提供巨大的潜力和重要应用领域。然而，在实现物联网中充分利用 Generative AI 方面存在着一些关键挑战和机遇。