


Lightning News | JD.com launches Yanxi AI large model for retail, medical, logistics and other industrial scenarios
Lightning News|JD.com launches Yanxi AI large model for retail, medical, logistics and other industrial scenarios
#Headlines Creation Challenge
#Reporter Liu Xia
On July 13, JD.com officially released the JD Yanxi large model at the 2023 JD Global Technology Explorer Conference and JD Cloud Summit, and also released the Yanxi AI development and computing platform. Cao Peng revealed that the Yanxi AI development and computing platform is expected to be officially launched in August.
It is reported that Yanxi AI development computing platform is a machine learning engineering platform for developers and enterprises. It provides full-link AI development services including data preparation, model development, model training, and model deployment, and has a variety of built-in open source Models and data sets provide users with low-threshold, cost-effective cloud-native AI engineering capabilities, helping to increase the value of AI algorithms and applications.
In addition, large models also penetrate into the medical and logistics fields. At the meeting, Li Xin, vice president of JD Group and general manager of JD Health Technology Products Department, released a large model of JD Health - Jingyi Qianxun, which covers the entire process of medical needs and enables intelligent decision-making. Chen Mingzhen, head of the intelligent supply chain department of JD Logistics, launched the Jinghui 3.0 supply chain management platform at a meeting, aiming to build a new digital supply chain solution.
In addition, JD.com has also formulated a clear "three-step" plan for large models, which are to build general large models internally, practice them on a large scale in internal industrial scenarios, and after the value of the large models has been fully verified internally, then Open to partners.
The above is the detailed content of Lightning News | JD.com launches Yanxi AI large model for retail, medical, logistics and other industrial scenarios. For more information, please follow other related articles on the PHP Chinese website!

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