Efficient Machine Learning: Practical Guide to Quantization, Pruning, Distillation, and Deployment
Making machine learning models efficient matters for everyone from startups constrained by cloud bills to device makers needing real-time inference. Efficient ML reduces cost, improves latency, and makes models practical at scale—without sacrificing accuracy. Below are proven techniques and practical trade-offs to guide model design, training, and deployment. Why efficiency mattersEfficient models enable wider deployment: […]