👉 LU Engineering, often associated with the LU (Linear Unit) architecture, is a computational design paradigm that emphasizes the integration of linear algebra operations directly within neural network layers. This approach simplifies and accelerates the training process by eliminating the need for separate matrix multiplication and activation functions, as LU units perform these operations in a single step. By leveraging the inherent structure of linear transformations, LU Engineering enhances efficiency and scalability, making it particularly suitable for large-scale deep learning models. This architecture is a key component in the development of high-performance AI systems, especially those requiring real-time processing and low-latency inference.
