As mentioned earlier, accelerators such as GPUs are often used to expedite the training process. These accelerators are designed specifically for parallel processing of large amounts of data, making them well suited for the matrix multiplication and other operations required by generative AI models. In addition to specialized hardware, there are also software-based acceleration techniques such as mixed precision training, which can expedite the training process by reducing the precision of some of the calculations.