Core Insights - The 2025 World Artificial Intelligence Conference in Shanghai showcased over 800 companies and more than 3000 innovative technology exhibits, emphasizing the rapid evolution and application of domestic AI models across various industries [2][3] - AI is transitioning from technical breakthroughs to deep integration with industries, significantly enhancing operational efficiency in sectors like supply chain, logistics, and human resources [2][4] Group 1: AI Development and Application - Domestic AI models have seen rapid iteration and deployment in various sectors, with AI employees automating tasks such as order processing and resume screening, leading to notable efficiency improvements [2][3] - The data production in China is projected to reach 41.06 zettabytes in 2024, a 25% year-on-year increase, providing a rich foundation for deep AI applications [2][3] Group 2: JD's AI Innovations - JD's upgraded JoyAI model has been integrated into hundreds of business scenarios, demonstrating replicable industrial practices and significantly enhancing operational processes [4][5] - The intelligent replenishment system at JD exemplifies how continuous data feedback optimizes supply chain models, reducing inventory turnover days to nearly 30 [3][4] Group 3: Consumer and Business Impact - JD's digital human anchors have shown remarkable commercial viability, serving over 20,000 brands and increasing user engagement significantly in live streaming [6][7] - The collaboration with leading brands and the integration of AI in consumer products have transformed traditional business models, enhancing productivity and consumer interaction [5][6] Group 4: Future Directions - JD aims to leverage its advantages in scene scale and data resources to drive technological innovation and set industry standards, contributing to high-quality development in the real economy [7][8]

Core Insights - JD.com has launched a new 750B deep thinking model and the first commercially viable digital humans in the industry, showcasing advancements in AI cognitive capabilities and commercial applications [1][3] - The company emphasizes the importance of integrating large models into industries to maximize their value, as stated by He Xiaodong, Vice President of JD Group Exploration Research Institute [1] Model Development - JD.com has developed a full-size large model that meets diverse industry needs, with models of 3B, 10B, and 81B providing varying levels of response efficiency and performance [3] - The newly introduced 750B model features dual-channel capabilities for "instant response" and "deep reasoning," utilizing innovative techniques like dynamic hierarchical distillation and cross-domain data governance to reduce training and deployment costs while maintaining model effectiveness [3][4] Efficiency Improvements - Recent research published in a Nature journal addresses the efficiency of large model development in open environments, proposing four core innovative methods: model distillation, data governance, training optimization, and cloud-edge collaboration, which enhance inference efficiency by 30% and reduce training costs by 70% [4] Digital Human Applications - JD.com has commercialized digital humans based on its general digital human model 2.0, offering features like fine-tuned audio and precise lip-syncing, enabling them to adapt to various streaming scenarios [7] - During the 618 shopping festival, JD.com provided six industry-specific digital humans for free to merchants, enhancing their ability to engage in live streaming and drive sales [7][9] Integration with Physical World - JD.com is exploring the integration of its large models into physical devices through the Joy Inside initiative, allowing robots to develop personality traits and emotional connections with users [11] - The Joy Inside platform leverages over 10 million daily intelligent conversations to imbue hardware like robots and AI toys with emotional intelligence and long-term memory [11]