10.4.2. Integration of AI Models with Hardware

Try these first

1. 1.

   What is model pruning?

   Hint

   Think about simplifying the model for efficiency.

2. 2.

   Name one benefit of model compression.

   Hint

   Consider the size of the model.

3. 3.

   What is the main purpose of model pruning?

   • To reduce model complexity
   • To increase training time
   • To improve data collection

   Hint

   Think about what pruning does to a plant.

4. 4.

   True or false: Quantization can lead to increased precision in model weights.

   • True
   • False

   Hint

   Consider what quantization does.

5. 5.

   Evaluate the effects of model compression on real-time data processing in an autonomous vehicle.

   Hint

   Link speed with efficient computation.

6. 6.

   Formulate a strategy for deploying quantized models in a smart home device without losing too much accuracy.

   Hint

   Consider which parts of the model can afford less precision.