DeepSeek Launches New Paper: Introduces mHC Architecture, Liang Wenfeng Named as Author

DeepSeek develops mHC AI architecture to boost model performance

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted the software in a paper published on Wednesday. DeepSeek created mHC to enhance the so-called residual connection mechanism that large language models use to learn new information. The mechanism, which […] The post DeepSeek develops mHC AI architectu…

DeepSeek Introduces mHC Architecture to Improve Training

TLDR DeepSeek introduced Manifold-Constrained Hyper-Connections (mHC) to improve large-model training scalability and efficiency. The mHC method was tested on 3B, 9B, and 27B parameter models, showing stable performance without added computational cost. mHC builds on ByteDance’s 2024 hyper-connection architecture by adding a manifold constraint to reduce memory overhead. CEO Liang Wenfeng co-authored and uploaded the paper, reaffirming his dire…

DeepSeek Launches New Paper: Introduces mHC Architecture, Liang Wenfeng Named as Author

DeepSeek kicks off the new year with an innovative research breakthrough, unveiling a groundbreaking mHC architecture. The announcement has generated significant buzz within the tech community, highlighting the company’s commitment to advancing artificial intelligence capabilities. Notably, renowned researcher Liang Wenfeng has been recognized as one of the authors, underscoring the importance of this development. The new mHC framework promises …