This research explores how Large Language Models (LLMs) can evolve Edge Intelligence into Edge General Intelligence (EGI), creating more adaptive and versatile applications at the network edge.

• Transforms edge computing from specialized intelligence to general-purpose reasoning and understanding
• Enables real-time, localized services with advanced reasoning capabilities
• Addresses key engineering challenges in deploying resource-intensive LLMs to edge environments
• Examines security implications of deploying powerful AI systems at network edges

For engineering teams, this represents a significant paradigm shift in how intelligent systems can be designed and deployed closer to end users, reducing latency while expanding capabilities.

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges