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.
AI概念があなたの課題にどのように適用されるかを話し合う相談を予約してください。