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List<MultimodalSample> -> PackedBatch
Concatenate variable-length text, image, video, and audio tokens into fixed-length contiguous training batches to eliminate padding overhead.
Problem it solves
Multimodal training datasets contain highly variable token lengths, causing massive compute waste due to zero-padding.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.