AIBullisharXiv – CS AI · 6h ago6/10
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LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study
Researchers have developed an alternative to deep neural networks for large language models based on RBF (Radial Basis Function) networks that claims to find optimal solutions in closed form without iterative training. The approach promises improved explainability and accuracy while eliminating the computationally expensive training process required by traditional DNNs.