DeepSeek DSpark 推测解码框架将生成速度提升85%
DeepSeek DSpark Boosts Generation Speed by 85% in First Post-Funding Paper
DeepSeek 刚发了 DSpark，跑大模型生成能快 85%，还是即插即用的。搞推理加速的朋友可以关注。
DeepSeek 在获 70 亿美元融资后发布首篇论文，提出 DSpark 推测解码框架，在无需额外训练的情况下将大模型生成速度提升 85%。
该框架通过轻量级草稿模型配合验证机制加速推理，在多个基准测试中达到与原始模型相当的质量。DSpark 支持即插即用，可适配现有 DeepSeek 系列模型，显著降低延迟。
DeepSeek DSpark Boosts Generation Speed by 85% in First Post-Funding Paper
DeepSeek releases DSpark speculative decoding framework, boosting generation speed by 85% in Liang Wenfeng's first paper after the company's $7B funding round.
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include DeepSeek, DSpark, 推理模型, 速度优化.
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