The research paper DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models examines how DeepSeek, an open-source AI initiative, has redefined how advanced language models are built and operated, challenging the dominance of closed, high-cost systems from Western tech companies. Through major algorithmic and engineering innovations, DeepSeek has achieved top-tier reasoning performance at a fraction of traditional training and deployment costs. Its breakthroughs, like more efficient attention mechanisms, improved reinforcement learning, and energy-saving training infrastructure, demonstrate that smarter design can outperform sheer scale. For business leaders, the significance is profound: DeepSeek marks a turning point toward accessible, efficient, and transparent AI development, signaling that the future of global AI competitiveness will be driven by innovation efficiency and open collaboration rather than expensive proprietary models.

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Key point: This paper highlights a major paradigm shift in AI, showing that innovative, efficient, and open-source model design can rival or surpass proprietary systems, redefining the global landscape of large-scale AI development.