AI brief
Apple researchers propose a distillation method that uses a discrete flow matching model's multi-step trajectory to train a student model to generate text in fewer steps.
Why it matters: Reducing the number of forward passes needed for text generation could make discrete flow matching models faster to run.
Written by AI from Apple Machine Learning Research's published text. Read the original for full details.