GitHub - Deepseek-ai/DeepSeek-Coder: DeepSeek Coder: let the Code Writ…
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Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and in the meantime saves 42.5% of coaching prices, reduces the KV cache by 93.3%, deepseek and boosts the maximum generation throughput to 5.76 instances. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of experts mechanism, allowing the model to activate only a subset of parameters during inference. As experts warn of potential dangers, this milestone sparks debates on ethics, safety, and regulation in AI development.
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