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    Dust Trains Transformers Without Backpropagation●Dust: Pretraining Transformers Without BackpropagationYhnWarMiddle East2771 h ago

    A new research paper from QLabs introduces Dust, a method for pretraining transformer models without using backpropagation, the algorithm that underpins nearly all modern deep learning. The claim is drawing attention because backpropagation is considered essential to training large language models, and any workable alternative could reshape how AI models are trained and at what cost. Details of the method and its benchmarks are published on the QLabs research site.