The technique that compresses large models by removing redundant parameters while preserving performance is called Model ________.
- Doping
- e₹-UPI / Digital Rupee
- Incident
- Pruning
Answer: Pruning
Model pruning removes low-importance weights/neurons, reducing size and inference cost. Combined with quantization for efficient edge deployment. Critical for scalable AI systems.