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.
Buchen Sie eine Beratung, um zu besprechen, wie KI-Konzepte auf Ihre Herausforderungen anwendbar sind.