Lattice QCD is a powerful first-principles approach to QCD at low energies. Despite its success, lattice QCD calculations suffer from critical slowing down as the continuum limit is approached. Promising results suggest that machine-learned flow-based algorithms may instead provide efficient sampling of gauge field configurations in various lattice field theories. In this talk, I will review the recent progress applying these methods to lattice gauge theories.