Vincent Granville
1 indexed paper
Recent (6 mo)
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126
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ML×1AI×1
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2026
LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study
The paper introduces a novel, non-deep neural network architecture that achieves the performance of LLMs by finding the global optimum of the loss function in a single, closed-form iteration, eliminating the need for traditional training.
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