At the 2024 JD Cloud Summit, JD Cloud showcased its latest advancements in large model technology and introduced eight major products, including JD Cloud Enterprise Large Model Service, Yanxi Intelligent Agent Platform, Intelligent Programming Assistant JoyCoder, and Yanxi Digital Human 3.0. These products reflect JD Cloud's leading position in large model applications and its in-depth exploration of industry practices.
Cao Peng, Chairman of the JD Group Technology Committee, emphasized that JD's supply chain serves as a super incubator for large model applications. By transforming mature large model technologies into products, JD provides services to customers. JD's rich industrial native data serves as ample nourishment for large models, supporting operations across over a hundred internal scenarios and over 350,000 self-employed delivery personnel, and more than 230,000 merchants.
The JD Cloud Enterprise Large Model Service aims to support enterprises in creating proprietary large models. The Yanxi AI Development Computing Platform 2.0 offers low-threshold, cost-effective development services. The JD Cloud Large Model Security and Trust Platform boasts over 200 unique red team and blue team attack techniques, while the Cloud Ship AI Computing Cloud and the new generation of distributed storage Cloud Sea 3.0 support unified scheduling of distributed computing power across multiple regions and storage needs for AI large models with hundreds of billions of parameters.
The Yanxi Intelligent Agent Platform, as a one-stop AI Agent development platform, has integrated dozens of large models to help users quickly build applications. The JD Cloud Yanxi Digital Human 3.0 platform has achieved zero-shot, highly controllable real-time digital human generation, offering personalized digital human customization solutions and demonstrating excellent performance in scenarios such as live streaming.
The Intelligent Programming Assistant JoyCoder, developed based on large model technology, provides functions such as code prediction and comment-to-code generation, significantly enhancing development efficiency. Through these large model products, JD Cloud not only promotes the application of large models in industries such as supply chain but also injects new momentum into the development of various industries.