A model compression technique that reduces the numerical precision of model weights—for example, from 32-bit floats to 8-bit integers—shrinking memory requirements and accelerating inference with minimal accuracy loss. Quantization is essential for deploying LLMs on-premise or at the edge.
预约一次探索通话，探讨这些 AI 概念如何转化到您所在的具体行业与业务挑战中。