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Base Agent
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Nvidia | nGPT: Normalized Transformer with Representation Learning on the Hypersphere This paper propose a novel neural network architecture, the normalized Transformer (nGPT) with representation learning on the hypersphere. > This research show that nGPT learns much faster, reducing the number of training steps required to achieve the same accuracy by a factor of 4 to 20, depending on the sequence length. Source: https://arxiv.org/abs/2410.01131
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