https://ift.tt/jiCZdnI Large AI models are scaling rapidly, with bigger architectures and longer training runs becoming the norm. As models...
Large AI models are scaling rapidly, with bigger architectures and longer training runs becoming the norm. As models grow, however, a fundamental training stability issue has remained unresolved. DeepSeek mHC directly addresses this problem by rethinking how residual connections behave at scale. This article explains DeepSeek mHC (Manifold-Constrained Hyper-Connections) and shows how it improves large language model training stability […]
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