During the ever-evolving landscape of synthetic intelligence and machine learning, algorithms function the spine of innovation. Amongst them, a single stands out as arguably by far the most critical: gradient descent. This optimization algorithm powers almost everything from straightforward linear regression to complex neural networks that travel p