On-device AI

From DALL-E with some prompting
The image is a diagram explaining the concept of “On-Device AI,” which describes the process of operating artificial intelligence within a device. The stages are as follows:

Data: It begins with the collection of data from large databases and the internet, represented by a “Big data” icon and various icons representing different internet services.

Machine Learning: The collected data is used to train models through the machine learning process, depicted by a neural network icon.

Model: The trained model is represented by an AI model icon, including learned features or vectors, indicated by the term “Learned.”

Optimized Data: The trained model is transformed into optimized data for use in on-device AI.

On Device AI: The on-device AI operates using an inference engine and a dedicated inference chip, supporting AI functionalities on the end-user’s device, such as a smartphone, as illustrated by a device icon.

The image represents the flow from data collection, through model training and optimization, to the execution of AI within a device. This process allows AI to function independently within a personal device rather than on cloud servers, providing benefits such as reduced response times and enhanced privacy protection