Google’s TurboQuant Marks a Fundamental Shift in How AI Systems Scale
AI models depend on vectors to understand text, images, or data directly. More specifically, they rely on high-dimensional vectors that encode semantic meaning. It allows the system to capture and process complex information, such as features of an image or properties of datasets. While these vectors are powerful, they also consume vast amounts of memory….