西风 一水 发自 凹非寺 量子位 | 公众号 QbitAI 超越DeepMind的Langfun、抱抱脸的Smolagent等，国产智能体位列全球智能体第一梯队！ GitHub明星开源项目、行业首个 100%开源的企业级智能体JoyAgent ，迎来重要更新—— 进一步开源DataA gent和DCP数据治 理模块，加速企业级落地。 升级后的JoyAgent，在全球权威智能体评测榜单 GAIA， Validation集准确率77%，Test 集准确率超67 % ， 相较于此前成绩实现稳步提 升。 该项目在GitH ub的热度也顺势走高， Star数迅速过万 ，截至发稿已达10.1k。 | | ( jd-opensource / joyagent-jdgenie Public template | | | | | | | A Notifications | y Fork 1k | Star 10.1k | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | <> Code | · Issues 107 I Pull requ ...

近期高度活跃的京东，又对AI"下手了"。 在今天举行的JDD大会上，京东一口气发布了三大AI产品、三个升级的深度应用平台，以及京东自研AI在四大场景的应用成果。同时京东集团SEC副主席、 京东集团CEO许冉宣布，未来三年将持续投入人工智能发展，带动万亿规模的人工智能生态，并向具身智能等人工智能企业开放场景与训练数据。 京东这次对自研AI能力的集中展示，事实上为观察当前互联网行业的AI应用落地，提供了一个差异化样本。京东采用的"场景驱动"策略已见成效：先在自身 供应链体系中验证AI应用的实际价值，再将经过实战检验的能力做了系统化输出。 这一路径选择背后，既代表着京东对AI战略意义的本质理解，也呼应了当前AI从强调技术研发转向注重实际应用价值的行业大趋势。京东的实践，或许能 为AI深度应用提供可参照的关键要素和可能路径。 京东的AI战略， 从一开始就脱离了炫参数和炫技能的层面。 自用打磨，AI重塑供应链 从JDD大会的发布来看，京东在"关起门来"自研自用AI的这段时间，已经实现了自研AI能力跑通核心业务场景的成果。 以供应链的枢纽环节物流场景为例，京东在自建物流体系中已经完成了大模型的深度嵌入。经过升级后的物流超 ...

Core Insights - JD.com is integrating its supply chain capabilities with artificial intelligence (AI) to drive comprehensive supply chain reconstruction, enhancing operational efficiency and decision-making processes across various industries [3][4]. Group 1: AI Applications in Logistics and Manufacturing - JD's "Wolf Pack" robots utilize advanced models for full-domain perception, enabling proactive decision-making and efficient navigation in over 500 warehouses globally [2]. - The JD Industrial division has developed an intelligent agent capable of processing vast amounts of material information, significantly improving efficiency in product governance by over 10 times compared to traditional methods [2]. - JD's logistics "Super Brain Model 2.0" enhances operational efficiency by 20% through optimal resource allocation and autonomous decision-making capabilities [7]. Group 2: AI Innovations in E-commerce - JD's retail innovation AI architecture, Oxygen, assists brands in strategizing new product launches and streamlining marketing operations, resulting in reduced costs and improved efficiency [2][5]. - The upcoming JD Xi APP will allow users to perform various tasks through natural language, enhancing the shopping experience by providing personalized recommendations based on extensive data analysis [5]. Group 3: AI-Driven Supply Chain Collaboration - AI tools have been integrated into the entire business process for over 300,000 merchants, facilitating more than 30 million operational decisions weekly [7]. - JD's industrial AI model, trained on 57.1 million SKUs, supports over 10,000 industrial enterprises, providing solutions that significantly reduce operational costs and time [8]. Group 4: Future AI Developments - JD plans to invest continuously in AI over the next three years, aiming to create a trillion-dollar AI ecosystem that prioritizes trust and efficiency [4]. - The company is focused on deepening AI applications in various sectors, including digital personas for brand representation and customer engagement [9][10].