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Category: Technical Terms
Quantization reduces AI model size by using fewer bits to store numbers, making models run faster with less memory.
Normal AI models use 32-bit numbers for calculations. Quantization reduces this to 16-bit, 8-bit, or even lower while keeping most accuracy.
It's like compressing images - you lose some quality but gain speed and storage savings.
Quantization makes powerful AI run on phones, laptops, and edge devices instead of requiring massive servers. It democratizes AI access.
Most consumer AI apps use quantized models to work on regular hardware.
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