DeepSeek Unveils 'Engram' Memory Technique to Bypass GPU Constraints and Expand AI Model Parameters
Summary
DeepSeek introduces revolutionary 'Engram' memory technique that bypasses GPU constraints to dramatically expand AI model parameters, potentially helping China overcome hardware limitations while improving performance on industry benchmarks.
Key Points
- DeepSeek founder Liang Wenfeng co-authors a technical paper introducing 'Engram,' a new conditional memory technique that bypasses GPU memory constraints to enable aggressive AI model parameter expansion
- The technique addresses China's hardware gap with the US by decoupling compute and memory functions, allowing models to look up basic information more efficiently while reserving computational power for complex reasoning
- DeepSeek validates the Engram technique in a 27 billion parameter model, showing improved performance on industry benchmarks as speculation grows about a new V4 model launch expected in mid-February