dailyai.report

Categorical Flow Maps (CFMs) allow continuous diffusion models to generate discrete data by mapping Gaussian distributions to one-hot encoded data. Apple researchers demonstrate that this approach enables accelerated sampling for language modeling. It offers a viable alternative to autoregressive methods. Practitioners can now leverage faster inference speeds without sacrificing sample quality.