Model Quantization reduces the numerical precision of AI model parameters to decrease model size, memory usage, and inference time while maintaining acceptable accuracy.
Voice AI providers use Model Quantization to deploy speech recognition and language models on edge devices, reduce cloud infrastructure costs, and improve real-time inference performance.