DeepSeek发布梁文锋署名新论文

Core Insights - DeepSeek released a new paper titled "Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models" on the evening of the 12th, co-authored with Peking University, featuring Liang Wenfeng [1] - The paper introduces conditional memory, which significantly enhances model performance in knowledge retrieval, reasoning, coding, and mathematical tasks under equal parameters and computational conditions [1] - DeepSeek has open-sourced the related memory module called Engram [1]