Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore methods to enhance speed and control of Generative AI inferencing using C++ in this comprehensive video. Delve into object-oriented programming techniques that provide clear structure and code reusability. Learn about various C++ libraries and frameworks for running generative AI models, including TensorFlow Lite, OpenVINO, Caffe2, CNTK, MLPACK, Dlib, and Eigen. Discover how to optimize computer vision and deep learning applications for embedded systems and mobile devices. Gain insights into building and running neural networks using pure C++ APIs, and understand the trade-offs between platform-specific optimizations and general-purpose support across multiple platforms. Explore the potential of leveraging efficient linear algebra libraries as building blocks for custom machine learning projects.