Understand this story
On November 2, 2026, Du Xiaoman, the Hong Kong University of Science and Technology (HKUST), and the Hong Kong Generative AI Research and Development Center (HKGAI) jointly released the Xuanyuan 4.5 financial-enhanced large model at the opening ceremony of the 2026 Hong Kong FinTech Week. According to Phoenix Technology, the model is based on RSI technology and improves results by 30% in core financial scenarios such as customer acquisition, risk control, and customer management, while costing only 10% of a general-purpose model; the model consists of two parts, a large language model and a multimodal model, and the self-developed Xuanyuan-Machine participates in agent data synthesis, supervised fine-tuning, reinforcement learning, and other stages, and has built more than 100 billion tokens of scenario-enhanced data. On the same day, Du Xiaoman CEO Zhu Guang said at Hong Kong FinTech Week that AI is moving financial services from "a thousand faces for a thousand people" to "a thousand faces for one person," and that the biggest change in large models this year is the shift from "answering questions" to "delivering results"; its risk control system's risk anomaly attribution plus strategy development cycle has been shortened from about two weeks to three to four days. The model has currently been released, with no further developments for now.
AI-generated from public reports
Developments
1 confirmed developments
Du Xiaoman, HKUST and HKGAI Jointly Release XuanYuan 4.5 Financial Large Model
Source:Phoenix Technology
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Nov 2
Yicai
Du Xiaoman CEO Zhu Guang: AI Moves Financial Services from "Tailored to Thousands" to "Tailored to Each Individual," Jointly Releases XuanYuan 4.5 Financial-Enhanced Large Model
Du Xiaoman CEO Zhu Guang said at the Hong Kong FinTech Week that AI is moving financial services from "tailored to thousands" to "tailored to each individual," and that the biggest change in large models this year is the shift from "answering questions" to "delivering results." Du Xiaoman, together with the Hong Kong University of Science and Technology and the Hong Kong Generative AI Research and Development Center (HKGAI), jointly released the XuanYuan 4.5 financial-enhanced large model, which delivers results 30% better than general-purpose models in core financial scenarios such as customer acquisition, risk control, and customer management, at only 10% of the cost. Its risk control system's risk anomaly attribution plus strategy development cycle has been shortened from about two weeks to three to four days.
YicaiRelated discussion
Yicai joined this discussion
This post contributes to heat; it is not a formal report or confirmed fact.
Phoenix Technology
Du Xiaoman and Hong Kong University of Science and Technology Jointly Release Xuanyuan 4.5 Financial-Enhanced Large Model
Du Xiaoman, the Hong Kong University of Science and Technology, and the Hong Kong Generative AI Research and Development Center (HKGAI) jointly released the Xuanyuan 4.5 financial-enhanced large model at the opening ceremony of the 2026 Hong Kong FinTech Week. Based on RSI technology, it improves effectiveness by 30% in core financial scenarios such as customer acquisition, risk control, and customer management, while costing only 10% of a general-purpose model. The model consists of two parts: a large language model and a multimodal model. The self-developed Xuanyuan-Machine participates in agent data synthesis, supervised fine-tuning, reinforcement learning, and other stages, and has built more than 100 billion tokens of scenario-enhanced data. Based on Xuanyuan, Du Xiaoman has built over a thousand agents and more than 5,000 skills, with average daily token usage exceeding 100 billion, and has shortened the iteration cycle of risk strategies in its credit business by more than half.
Heat trend for this story
- Current
- 12
- Period peak
- 18 Nov 2 19:00
- 24-hour change
- —
Move the pointer or select the chart to inspect hourly heat. Use the left and right arrow keys with a keyboard.