aiqbench analysis

The article focuses on the architectural shift toward running large language models directly on local hardware rather than relying on cloud APIs, addressing critical concerns regarding data privacy and latency. This trend represents a significant development in the deployment of machine learning within edge computing environments, moving beyond theoretical research to practical product implementation.