JoyCode智能编码平台
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京东云:3.7万个智能体跑起来,助力企业重塑AI生产力
Yang Zi Wan Bao Wang· 2025-11-21 03:54
Core Insights - JD Cloud showcased its leading technology and application practices of the JoyAI model at the JD Cloud City Conference, emphasizing the dual-driven AI development paradigm of Agent+Coding to enhance enterprise applications and reshape AI productivity [1][3] Group 1: AI Development Paradigm - The Agent+Coding paradigm is becoming mainstream in AI application development, simplifying coding processes and promoting automation and intelligence in development [3] - JD Cloud integrates the JoyAgent and JoyCode platforms to support deep applications, allowing business personnel to quickly transform ideas into enterprise-level applications [3] Group 2: Digital Human Applications - The JD digital human, JoyStreamer, has served over 40,000 brands, leading to a 59% year-on-year increase in GMV during the 11.11 shopping festival while reducing operational costs by 80% [4] - Digital human technology is enabling various industries to break creative boundaries and achieve growth through innovative applications [4] Group 3: Industry Solutions - JD Cloud launched comprehensive solutions for various industries, including embodied intelligence, finance, healthcare, and government, sharing real datasets with partners to enhance AI capabilities in complex environments [6] - In healthcare, the JD Medical Qianxun model is being applied in major hospitals, serving over 2.3 million patients [6] Group 4: Financial and Government Applications - Three out of the four major state-owned banks are utilizing JD Cloud's financial cloud services [7] - JD Cloud's intelligent government solutions integrate the JD model with JoyAgent capabilities, enhancing efficiency in government services, exemplified by the "Jing Xiaoyi" assistant achieving over 1,500 intelligent consultations [7]
京东云:深度融合智能体和编码平台,构建AI开发新范式
Zhong Guo Zheng Quan Bao· 2025-11-20 12:47
Core Insights - JD Cloud is reshaping AI productivity through deep applications, showcasing its leading technology and practices at the JD Cloud City Conference [1] - The new AI development paradigm of Agent+Coding is becoming mainstream, simplifying code writing and enhancing automation in AI development [1][4] - JD Cloud's integration of JoyAgent and JoyCode platforms enables seamless collaboration for building complex AI applications [2][4] AI Development Paradigm - The Agent+Coding paradigm allows for a closed-loop system where AI agents simplify coding, and code improvements feed back into the agents, promoting automation and intelligence in development [1][4] - JoyAgent and JoyCode are built on the same technology stack, facilitating tighter collaboration and integration [4] Industry Solutions - JD Cloud has launched comprehensive solutions for various industries, including embodied intelligence, finance, healthcare, and government, enhancing AI application in real-world scenarios [15][17] - The JoyAI model has been successfully applied in over 40,000 brands, significantly increasing GMV and reducing operational costs [7] Infrastructure and Performance - JD Cloud is transitioning to a GPU-centric infrastructure to meet the growing demands of AI applications, marking the beginning of AI Infra 1.0 [8][11] - The JoyBuilder platform enhances model training and inference efficiency by 400%, while also providing a wide range of algorithms and tools for businesses [11] Data Security - JD Cloud emphasizes data security and compliance, utilizing national encryption algorithms to ensure safe data circulation [14] Future Directions - JD Cloud aims to continue expanding its technology and application boundaries, focusing on creating a stable, open, high-performance, and cost-effective ecosystem for enterprises [18]
京东云:推出“Agent+Coding”开发新范式,开源全新多模态RAG技术
Xin Lang Ke Ji· 2025-11-20 10:33
Core Insights - JD Cloud has launched a new development paradigm called "Agent + Coding," which aims to simplify AI application development and promote automation in coding processes [1] - The upgraded JoyAgent 3.0 features breakthrough cross-platform and multi-agent collaboration capabilities, enhancing the efficiency of AI applications [1] Group 1: New Development Paradigm - The "Agent + Coding" paradigm is becoming mainstream in AI application development, facilitating a closed-loop system where agents simplify code and code enhances agent functionality [1] - This shift is expected to lead to a significant reduction in the amount of code developers need to write, moving towards a future where less coding is required [1] Group 2: JoyAgent and JoyCode Integration - JD Cloud has tightly integrated the JoyAgent intelligent agent platform with the JoyCode intelligent coding platform to support deep application development [1] - JoyAgent provides atomic capabilities such as intelligent agents and AI algorithm libraries, which can be directly called and integrated by JoyCode [1] - Applications generated by JoyCode can feedback into JoyAgent to optimize agent behavior and knowledge models, creating a seamless collaboration through the AI Store [1] Group 3: Embodied Intelligence Solutions - JD Cloud has officially launched embodied intelligence industry solutions, offering a comprehensive platform that supports enterprises in model training and embodied agent development [2] - The solutions leverage JD's proprietary JoyInside technology to equip agents with core capabilities such as environmental perception, voice interaction, and action planning [2]
京东11.11:JoyAI大模型跑在超级供应链上
Zhong Jin Zai Xian· 2025-11-12 06:31
Core Insights - JD.com has experienced significant growth in order volume, logistics efficiency, and merchant revenue during the 2025 11.11 shopping festival, driven by AI innovations centered around JoyAI [1][4][10] Full-Scenario Application - AI applications within JD.com have transitioned from isolated trials to comprehensive coverage, enhancing operational efficiency and reducing costs [4] - The platform "京点点" generated 200 million product images in seconds, covering over 40 million products, aiding merchants in marketing material creation [4] - The "京麦商家AI助手" provided over 30 million operational decisions weekly based on historical data [4] - The logistics model, combined with robotic systems, improved storage efficiency by 200% and labor efficiency by 300% [4] Consumer Experience Enhancement - AI-driven customer service handled over 4.2 billion inquiries during the 11.11 event, achieving an 85% resolution rate for various queries [5] - The "京小智 5.0" assistant served 160 million times, showcasing high emotional intelligence in customer interactions [5] - AI fitting services were implemented for over 30 fashion brands, enhancing user experience with realistic virtual try-ons [6] - The "JoyInside" technology enabled personalized interactions with smart toys, leading to a 20-fold increase in sales compared to previous events [6] Platform Services - JD.com has made its AI capabilities accessible to over 3 million merchants, significantly lowering the barriers to technology adoption [7] - The "JoyStreamer" digital human platform generated over 2.3 billion yuan in GMV during the 11.11 event, with a cost efficiency of 1/10 compared to human hosts [7] - The "JoyBuilder" platform provided up to 4.5 million free tokens to new users, facilitating easier AI application [7] AI Computing Foundation - Over 30,000 "digital employees" based on the JoyAgent 3.0 platform were deployed across various sectors, achieving a 77% accuracy rate in a GAIA evaluation [8][10] - JD.com’s cloud infrastructure demonstrated robust performance with over 37 million peak container cores during the event [9] - The "JoyScale" AI computing platform supported extensive application needs, with a 657% increase in token usage on the "JoyBuilder" platform [10] Conclusion - The 2025 11.11 event signifies a pivotal moment where AI has become integral to industry operations, driving a transformative shift towards a new era of digital intelligence [10]