Foundation Models & LLMsDevelopersCTOs
Quantization
Reducing the numerical precision of model weights to decrease memory usage and speed up inference — often trading small accuracy losses for large efficiency gains.
Reducing the numerical precision of model weights to decrease memory usage and speed up inference — often trading small accuracy losses for large efficiency gains.