Quantization

The technical process of reducing AI model precision by converting high-precision numbers to lower-precision representations, significantly decreasing model size and computational requirements whilst maintaining acceptable performance levels. This optimisation technique enables deployment of sophisticated AI models on resource-constrained devices or reduces cloud computing costs for businesses. Organisations can leverage quantisation to run AI systems more efficiently, reduce infrastructure costs, improve response times, and deploy AI capabilities on edge devices. Applications include running AI models on mobile devices, reducing server costs for customer-facing applications, and enabling AI functionality in resource-limited environments.