Recently, Pinduoduo has established a team in Shanghai dedicated to large-scale models, which will research the application of large-scale models in Pinduoduo's customer service and dialogue scenarios, as well as in its cross-border e-commerce platform TEMU's intelligent customer service, search, recommendation, and other business scenarios. Currently, the team is still in the development stage, and Pinduoduo has not responded to this. Large-scale models refer to artificial intelligence models with a large number of parameters, capable of processing massive data and performing various tasks and functions. Since this year, major domestic internet companies have been laying out large-scale models, such as Alibaba's "Tongyi Qianwen," Baidu's "Wenxin," Tencent's "Hunyuan Assistant," Huawei's "Pangu," and Kuaishou's "Kuaiyi." Meituan and Didi are also developing large-scale models, exploring different business scenarios. Large-scale models are seen as the key and consensus for internet giants to explore future business and reshape their own business. With the support of large-scale models, various businesses will participate in industry competition in a completely new way. Pinduoduo's large-scale model team will focus on its core e-commerce business and provide more AI capabilities. Large-scale models can help Pinduoduo achieve more intelligent product recommendations, virtual customer service, supply chain management, image recognition, and other functions, improving the shopping experience, increasing sales conversion rates, reducing operating costs, and increasing user satisfaction. In fact, large-scale model products play an increasingly important role in e-commerce transactions. In the past year, many e-commerce platforms have explored large-scale model products, and AI e-commerce has become a key focus. Examples include Baidu's "Intelligent Shopping Guide," Douyin's "Cloud Map Extreme Edition," Taobao's "Taobao Wenwen," and "AI Creation Assistant." According to Goldman Sachs' prediction, by 2025, artificial intelligence will save the retail industry $54 billion in costs annually and create $41 billion in new revenue. Therefore, whether it is Pinduoduo or other e-commerce platforms, the development and application of large-scale models may become more aggressive in order to seize the dominant position in the wave of AI e-commerce.