DPSK

NVDY

<p>This is a reconstruction of the AI "cortex." The latest paper from the DeepSeek team led by Liang Wenfeng reveals that when we separate "memory" from "computation," entrusting what needs to be memorized to a "dictionary" and what needs to be calculated to the brain, the reasoning ability of AI will experience an explosive growth that is counterintuitive. This moment may be the eve of the birth of DeepSeek V4</p>

- DeepSeek's research presents a new "Engram" module that breaks the expensive paradox of the Transformer architecture by separating memory from computation in AI models.  
- This separation allows static knowledge to be stored efficiently while freeing up model capacity for more complex reasoning tasks, leading to unexpected improvements in logic and coding capabilities.  
- The upcoming DeepSeek V4 model, set to release before the Lunar New Year, aims to capitalize on these advancements, potentially redefining AI standards by enhancing memory capacity and inference efficiency.

Liang Wenfeng's new paper: Provide a "dictionary" for large models, with computation and memory separated, IQ skyrockets, spoilers for DeepSeek V4?