dailyai.report

A new compression framework called TurboQuant from Google AI dramatically reduces model size while preserving accuracy, enabling faster deployment on edge devices worldwide. By encoding weights with extreme sparsity, the method cuts memory usage by up to 90% and inference latency by 70%.