Running AI models directly on user devices eliminates network latency, ensures 100% data privacy, and drastically reduces server costs. With advances in NPUs (Neural Processing Units) on smartphones and laptops, on-device AI is the new default.
Module 1: Model Quantization
To fit models in constrained RAM, weights are quantized from 32-bit floating point (FP32) to 8-bit (INT8) or even 4-bit formats, drastically shrinking the model size with minimal accuracy loss.