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从60场景到10亿调用量:阿里国际AI商业化的技术破局之路
Sou Hu Cai Jing·2025-07-28 02:39

Core Insights - Alibaba International's AI solution Marco has achieved an impressive daily usage of 1 billion calls, marking a significant milestone in the cross-border e-commerce sector and representing a 1000-fold increase compared to 2023 [1] - The SAIL Star Award was granted to Marco at the World Artificial Intelligence Conference, highlighting its status as a groundbreaking AI application [1] Technical Milestones Behind SAIL Star - The AIBusiness team, established in April 2023, has developed Marco over two years, transitioning from a single-function model to a comprehensive solution covering over 60 scenarios in e-commerce, with support for more than 30 languages [3] - Marco's core innovation lies in deeply integrating large model technology into specific business applications, creating a complete loop from technology development to commercial monetization [3] Evolution of Five-Layer Technical Architecture - Marco's success is attributed to its unique five-layer technical architecture, featuring a self-developed inference engine, MarsEngine, which has achieved a 116% throughput improvement in translation scenarios compared to industry-standard engines [4] - This foundational performance breakthrough ensures high-frequency calls are technically supported, with real-time latency reduced to one-eighth of competitors [4] AI Technology Industrialization - The daily 1 billion call volume exemplifies AI technology's transition from laboratory settings to industrial applications, contrasting with the common industry challenge of "impressive demonstrations but difficult implementations" [5] - Marco's standardized capability output and scenario-based solutions demonstrate sustainable operational capacity for AI in complex business environments [5] Aidge Open Platform and Ecological Revolution - Alibaba International's broader strategy includes the Aidge open platform, which has seen a 23-fold increase in external partner call volumes by open-sourcing core models like Marco and collaborating with leading service providers [7] - This "technology sharing-ecosystem co-construction-business win-win" model enables exponential growth in call volumes every two months [7] Significance of Cross-Border E-commerce in AI Application - Cross-border e-commerce is emerging as a leading field for large-scale AI applications, with implications that extend beyond the success of a single company [9] - The open development of tools like the AgenticADK framework is shifting the power of industry standard-setting, emphasizing the broader industrial value recognized by the SAIL Star judging panel [9] Insights on Large-Scale AI Application Era - Marco's implementation illustrates that the breakthrough in AI commercialization lies in the integration of deep technology, broad scenarios, and robust ecosystems [10] - This methodology is redefining the relationship between AI and industry, moving from isolated intelligence to comprehensive, end-to-end solutions [10]