GitHub - Deepseek-ai/DeepSeek-Coder: DeepSeek Coder: let the Code Write Itself > 자유게시판

Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger efficiency, and in the meantime saves 42.5% of coaching costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 instances. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of specialists mechanism, permitting the mannequin to activate only a subset of parameters during inference. As specialists warn of potential risks, this milestone sparks debates on ethics, safety, and regulation in AI development.