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DeepSeek reveals low-cost large model training secrets in new paper
DeepSeek publishes a 14-page technical paper co-authored by CEO Wenfeng Liang detailing hardware-aware co-design approaches for low-cost large model training.
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.” DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design first appeared on Synced.
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