Which of the following can benefit from deploying a deep learning model as an embedded model on edge devices?

Latency is the time delay between a request and a response. Latency can affect the performance and

user experience of an application, especially when real-time or near-real-time responses are

required. Deploying a deep learning model as an embedded model on edge devices can reduce

latency, as the model can run locally on the device without relying on network connectivity or cloud

servers. Edge devices are devices that are located at the edge of a network, such as smartphones,

tablets, laptops, sensors, cameras, or drones.