NGBA: A New Method for Training Large Language Models Without Backpropagation

Introduction / Main Post: NGBA: A New Method for Training Large Language Models Without Backpropagation

NGBA (No-Backprop Gradient Accumulation) is a groundbreaking neural network training technique. By eliminating the inter-layer backpropagation chain rule, it enables parallel and independent updates of each layer in residual networks, significantly improving training efficiency and solving the gradient vanishing problem.