GitHub - Deepseek-ai/DeepSeek-Coder: DeepSeek Coder: let the Code Writ…
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Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger efficiency, and meanwhile saves 42.5% of training prices, reduces the KV cache by 93.3%, and boosts the utmost generation throughput to 5.76 occasions. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of experts mechanism, permitting the model to activate solely a subset of parameters throughout inference. As experts warn of potential risks, this milestone sparks debates on ethics, security, and regulation in AI growth.
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