DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelDeepSeekMoE can outperform conventional MoE architectures like GShard (Lepikhin et al., 2021) by a large margin. Let u? be the FFN input of the ?-th token, we compute the FFN output h′ ? as follows: h′ ? = u (SFT). Notably, DeepSeek-V2 Chat (SFT) surpasses all open-source Chinese models by a significant margin. It significantly outperforms the second-best open-source model, Qwen1.5 18 Benchmark # Shots DeepSeek models in Table 7. DeepSeek-V2-Lite also outperforms our previous small-size chat models by a large margin. 30 C. Full Formulas of MLA In order to demonstrate the complete computation process of MLA, we0 码力 | 52 页 | 1.23 MB | 1 年前3
Trends Artificial Intelligence
Alphabet / Meta = CapEx Up…Free Cash Flow Margins Down 174 Capital Expenditure, Free Cash Flow Margin, Revenue Growth – C2023-C2024, per Capital IQ Note: FCF calculated as cash flow from operations & Retail; FCF not broken out across subsidiaries. Source: Capital IQ (5/25) CapEx Free Cash Flow Margin Revenue Microsoft Amazon Alphabet (Google) Meta Platforms (Facebook) $35B $56B +58% $53B $83B tens of millions of users. The story is different outside China, where ChatGPT leads by a wide margin. The bifurcation is clear: domestic champions are emerging in China, while global platforms dominate0 码力 | 340 页 | 12.14 MB | 4 月前3
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