Deepseek V3開源！多語言編程能力飆升，力壓Claude 3.5 Sonnet V2
備受期待的Deepseek V3終於開源!這款全新的AI模型在多語言編程能力上取得了重大突破，其在aider多語言編程測評中的表現，甚至超越了Claude3.5Sonnet V2等競爭對手，引發了業界廣泛關注。據瞭解，Deepseek V3相比之前的版本，在性能上實現了質的飛躍。Deepseek V2.5在aider測評中的成功率僅爲17%，而V3則暴增至48%，這充分展現了其強大的進步。Deepseek V3採用了高達6850億參數的混合專家（MoE）架構。該架構包含256個專家，並使用sigmoid路由方式，每次選取前8個專家(topk=8)參與計算，這種設計使得模型能夠
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