AI brief
Apple Machine Learning Research published work on limits of confidence in diffusion models, examining how discrete diffusion samplers choose which token positions to write at each step.
Written by AI from Apple Machine Learning Research's published text.
Source
“Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from a per-position distribution and choosing which positions to write from those same distributions.”
A paper, laboratory publication or research report.
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