DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to...

ha condiviso un link

2026-01-04 03:04:01 -

DeepSeek's latest research digs into a fascinating problem: hyper connections improve on residual networks but become unstable at scale. Their fix? A matrix normalization technique from 1967. Sometimes the best solutions are hiding in decades-old math papers

WWW.MARKTECHPOST.COM

DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections

DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and training then became unstable at scale. The new method mHC, Manifold Constrained Hyper Connections, keeps the richer topology of hyper connections but locks the mixing behavior on […] The post DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connectio

0 Commenti 1 condivisioni 173 Views