LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study

In three linesPaper proposes an alternative to deep neural networks for LLMs using RBF networks. The model finds the global optimum of the loss function in closed form in a single iteration, eliminating iterative training. High-level overview with case study and comparison to similar methods provided.

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