Google Flow provides a structured way to manage workflows through natural language commands. It includes both ready-made configurations and customizable options that do not require coding expertise.

Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.

Abstract: This letter proposes a structure-aware automatic differentiation method to accelerate the solution of alternating current optimal power flow (ACOPF) with nonlinear programming (NLP) solvers.