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significant · [1 source] · · 中文(ZH) 别急着All-in DeepSeek V4,先看看这10位从业者的真心话
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Don't rush to go all-in on DeepSeek V4, first read the honest opinions of these 10 industry professionals.

DeepSeek has released V4, an open-source model that achieves impressive performance through architectural optimizations rather than sheer scale. It significantly reduces computational costs for long-context tasks and demonstrates strong coding capabilities, making it a cost-effective alternative for certain applications. However, V4 sacrifices some accuracy and factual knowledge, requiring additional engineering or AI

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IMPACT Offers a highly cost-effective open-source alternative for long-context and coding tasks, potentially lowering the barrier for AI application development.

RANK_REASON Open-source model release with significant architectural innovations and cost reductions.

Read on 36氪 (36Kr) →

Don't rush to go all-in on DeepSeek V4, first read the honest opinions of these 10 industry professionals.

COVERAGE [1]

  1. 36氪 (36Kr) TIER_1 中文(ZH) ·

    Don't rush to go all-in on DeepSeek V4, first read the honest opinions of these 10 industry professionals.

    <p><strong>文|周鑫雨 王毓婵</strong></p> <p><strong>编辑|杨轩</strong></p> <p>解读DeepSeek V4的技术报告,是这几天AI行业最狂热的集体活动。</p> <p>V4很强吗?在工程优化的维度中,答案是毋庸置疑的。过去,大家信奉“Scaling Law的暴力美学”——也就是靠堆更多优质算力、更大参数规模来提升模型性能。而V4走的是一条完全不同的路,它定义了一种“模型训练的克制美学”:</p> <p>它不靠疯狂堆算力和参数,而是通过一系列组合优化和重构:</p> <p><strong>注意力机制</…