Blockchain-based Edge Intelligence Enabled by AI Large Models for Future Internet of Things

In recent years, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has become a key factor in the development of modern communication systems. Through the deep integration of AI and IoT, the intelligence level of the network has been greatly improved, achieving higher data transmission speed, lower latency, and higher reliability to meet the growing communication needs. Especially in the context of intelligence networking and edge computing, large-scale language models (LLM) such as the Generative Pretrained Transformer (GPT) series have extended the capabilities to handle complex tasks and predict user intentions, programming, and planning. These capabilities provide new possibilities for optimizing communication systems, reducing semantic communication costs, and customizing services according to user preferences. This article explores the application of blockchain and AI large models in the edge intelligence of the Internet of Things, and proposes a distributed, non-tamperable knowledge and learning achievement recording system based on blockchain technology and AI large models. The system is designed to automatically generate code to train new models in a privacy-preserving manner. Experimental results show that the system can accurately understand user needs, efficiently execute, and create high-performance artificial intelligence models at minimal cost on edge servers.