dailyai.report

Apple researchers are testing Categorical Flow Maps as a continuous alternative to autoregressive language modeling. This approach uses flow matching between Gaussian and one-hot encoded distributions to enable faster sampling. It aims to bring the efficiency of continuous modalities to discrete text generation. Practitioners can expect improved sampling speeds over standard LLMs.