The Design Space of Tri-Modal Masked Diffusion Models
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Models (MDM) pretrained from scratch on text, image-text, and audio-text data. We systematically analyze multimodal scaling laws, modality...
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Qué ocurrió
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Models (MDM) pretrained from scratch on text, image-text, and audio-text data. We systematically analyze multimodal scaling laws, modality...
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The development may change operating conditions or market expectations around AI. Further confirmation and measurable outcomes matter.
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- Apple Machine Learning ResearchFuente primaria · Respalda · EN · 100%The Design Space of Tri-Modal Masked Diffusion Models ↗
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- The Design Space of Tri-Modal Masked Diffusion Models Observado
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