Language models that can recognize and generate human-like text by studying patterns from vast datasets are extremely effective tools. Nevertheless, the traditional technique for training these models, known as "next-token prediction," has its shortcomings. The method trains models to predict the next word in a sequence, which can lead to suboptimal performance in more complicated…
