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Model Compression
Category: Technical Terms
Definition
Model compression reduces AI model size while keeping most of their performance, making them run faster and use less memory.
How It Works
Several techniques work together: quantization uses fewer bits for numbers, pruning removes unnecessary connections, and distillation creates smaller models that mimic larger ones.
Think of it like compressing a photo - you lose some quality but save space and loading time.
Why It Matters
Compressed models run on phones, tablets, and edge devices instead of requiring powerful servers. This makes AI accessible everywhere and reduces costs.
Most consumer AI apps use compressed models to work on regular hardware.