Model Optimization
Domain: MLOps
🎯 Motivation
Making models faster, smaller, and cheaper to run. Includes quantization, pruning, distillation, and architectural improvements.
📋 Concrete Example
Optimization plan: 1) Quantize to 8-bit (-75% size). 2) Prune 30% neurons (-30% size). 3) Distill to smaller model (-90% size). Total: 96% smaller, 3% accuracy loss.
🔗 Analogy
Tuning a car for racing - lighter parts, better aerodynamics, optimized engine. Same car, much faster. Model optimization makes models faster and cheaper.