👉 In machine learning, a "preconditioning" technique is a method used to reduce the cost of training a model by introducing a regularization term. The goal of preconditioning is to make the gradient of a loss function with respect to the weights in the model more stable during training. This can be done through various techniques such as L1 and L2 regularization, which are commonly used in deep learning frameworks like TensorFlow and PyTorch. These techniques aim to reduce the influence of small changes in the
