Related terms
A lightweight C/C++ library for running and deploying large language models locally across a range of hardware.
Model ServingThe process of making an AI model available for inference by deploying it behind an interface that accepts requests and returns predictions or generated outputs.
QuantizationThe process of reducing the precision of a model's weights and activations to lower memory footprint and speed up inference.