model-quantization

Vocabulary Word

Definition

In computing, 'model-quantization' is a technique to simplify complicated computer models. This can make the model run faster and use less memory, at a cost of possibly lower accuracy.

Examples in Different Contexts

In mobile AI, 'model quantization' helps in making AI models lightweight enough to run on mobile devices. A mobile developer might explain, 'Model quantization enables our apps to deliver powerful AI features while maintaining fast performance on smartphones.'

Practice Scenarios

Robotics

Scenario:

Our robot needs to perform computations efficiently. We should look into techniques to reduce computational demands.

Response:

A possible solution could be model quantization. This might decrease the computational strain on the robot.

Tech

Scenario:

The algorithms are taking too long to process. We could make some trade-off between computational efficiency and results.

Response:

How about we consider model quantization? That may reduce the computational requirements.