Integrating generative AI with intelligent edge devices
As we progress into 2024, the fusion of generative AI with intelligent edge devices is poised to revolutionize the technology landscape. Examples of edge devices include smartphones, tablets, autonomous vehicles, medical devices, wearable devices, and IoT devices such as smart thermostats, cameras, and more. SLMs are becoming a pivotal component of edge computing, offering a new dimension of smart, localized processing. This is because we face challenges with LLMs when they’re integrated on edge devices. LLMs need to be optimized before deploying edge devices for several reasons:
- Limited resources: Edge devices typically have constrained computational resources, including CPU, GPU, memory, and storage. Large models require substantial resources for both storage (>500 GB) and computation.
- Energy efficiency: Running large models can consume significant power, which is critical for battery-operated devices....
