Android Edge AI Quantization: INT8 vs FP16 Guide

This guide explains how to reduce AI model size and power consumption on Android devices using quantization. It compares INT8 and FP16 precision, noting INT8 reduces model size 4x vs FP32 and is ideal for NPUs. The article covers post-training quantization mechanics and implementation in Kotlin.