AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language models solve hard problems through intermediate computations across multi-step reasoning. Traditional chain-of-thought encodes these computations as tokens. Recent continuous and recurrent methods instead move partial computations into fixed-dimensional latent states, where a single thought can superpose...
The proposed mHC-based semantic encoder applies multiple residual streams and constrains their interaction by doubly stochastic (DS) mixing matrices to improve semantic/task performance, communication robustness, and convergence stability over residual and unconstrained HC baselines, while requiring no additional chann...
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