Mobile Edge Intelligence (MEI) offers a promising middle ground for deploying Large Language Models, balancing performance with resource limitations of edge devices.

• Provides lower latency and enhanced privacy compared to cloud-based LLMs
• Delivers better performance than purely on-device approaches
• Enables cost-effective deployment of AI capabilities at network edges
• Addresses key challenges in resource allocation and system architecture

For Engineering teams, MEI represents a pragmatic framework to deploy advanced LLMs while navigating hardware constraints, bandwidth limitations, and privacy requirements in edge computing environments.

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey