Lite.Ai.ToolKit is a C++ library that provides unified inference interfaces for running over 100 pre-trained models using backends including ONNXRuntime, MNN, TensorRT, TNN, and NCNN. It covers popular architectures such as YOLO series (v5/v6/v8), YOLOX, face recognition models, segmentation models, and Stable Diffusion. The project enables developers to deploy computer vision models in C++ environments with GPU and CPU support.