Qifu Technology Partners with 360 Intelligent Brain to Promote the Application of Large Models in the Financial Industry


Musk's xAI company is pushing the Grok chatbot into Wall Street, with institutions such as Morgan Stanley and Apollo already starting internal testing. Grok, leveraging natural language processing and deep learning technologies, helps financial institutions improve efficiency and decision-making in areas such as data analysis, market forecasting, and customer service.
Anthropic recently launched 10 AI agent products tailored for the financial industry, covering areas such as banking, insurance, asset management, and fintech. They can be used to generate client proposal materials, review financial statements, and trigger compliance review processes. The goal is to accelerate commercialization in high-value vertical scenarios and compete more directly with OpenAI in enterprise applications. This news has put pressure on the stock prices of traditional financial data and analytics service providers.
Yuxin Technology has launched four large model applications for the financial industry and one development platform product, including CodePal, DataSherpa, AI + Credit Assistant, and AI + Marketing Assistant. CodePal is a programming assistance tool for developers of financial industry applications, while DataSherpa quickly assesses the security level of financial data. The AI + Credit Assistant and AI + Marketing Assistant provide support tools for credit managers and retail financial clients, respectively.
Google's Gemini 3.5 Pro was originally scheduled to launch in June but was postponed. During this time, several core AI researchers left the team to join competitors, causing low morale. It has now been confirmed that the model will officially debut on July 17th, coinciding with the expected mid-July release of the domestic large model DeepSeek V4. The two flagship models from China and abroad will face off directly, leading to an intense confrontation.
Qwen introduces the real-time speech recognition model Fun-ASR-Realtime, reducing the first-word latency to the millisecond level and achieving a smooth "speak and feedback immediately" interaction. Its recognition accuracy is close to that of offline models, achieving high precision while breaking through the real-time performance bottleneck, marking a new height in voice interaction experience.