The Design Space of Tri-Modal Masked Diffusion Models
· By Antonio Sedino, CTRO · Published by Reinventy Solutions Corp.
Apple researchers design discrete diffusion models as strong autoregressive alternatives for bi-modal generation.
Discrete diffusion models serve as strong alternatives to autoregressive language models for bi-modal generation. Why it matters: For Artificial Intelligence, the source defines what should be monitored, while its stated evidence and qualification limits remain the boundary of the conclusion.
Read the original source at Apple Machine Learning Research ↗