Llm, AI, Deep Learning, Optimization.
lower-precision data types, such as 8-bit integers (int8), instead of the conventional 32-bit floating point (float32) representation. By doing so, it significantly reduces the memory footprint and computational demands during inference, enabling deployment on resource-constrained devices.