DeepSeek Patent Analysis Column Published in AI Times

AI Times has published Yongduck Kim's analysis of DeepSeek's approach to improving LLM training efficiency.

In this article, Yongduck Kim patent attorney introduced three core patent technologies: sequence indexing-based data configuration, distributed storage parallel streaming, and adaptive data compression and storage.

The column argues that efficient training methods will play an increasing role alongside model size, supporting both large-scale AI and smaller, more economical systems.

You can check out the full article at the link below.