Efficiency & Optimization
4 topics in AI & Machine Learning
Knowledge Distillation
How AI companies shrink massive models down to phone-sized ones without losing much intelligence — the teacher-student trick that powers on-device AI.
Model Pruning
How AI models lose weight without losing intelligence — removing the neurons that don't actually do anything useful to make models faster and smaller.
Model Quantization
How AI models get shrunk to run on your phone — the precision-tradeoff trick that makes 70 billion parameter models fit in consumer hardware.
Speculative Decoding
The clever trick that makes large AI models generate text 2-4x faster — using a small 'draft' model to guess tokens that a big model then quickly verifies.