蚂蚁数科金融大模型
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蚂蚁数科 Agentar 企业级智能体开发平台:五大支撑驱动金融新质生产力可信跃迁
Cai Fu Zai Xian· 2025-08-14 01:36
Core Insights - Ant Group's Agentar enterprise-level full-stack intelligent platform establishes a reliable foundation for intelligent applications in the financial sector, overcoming barriers of professionalism and complexity while ensuring compliance and reliability in technology applications [1] Group 1: Technical Foundation - The platform is built on a "1000+ security compliance water level standard," providing full-stack capabilities from underlying architecture to upper-layer applications, supporting stable operation of financial intelligent agents in complex business scenarios [2] - The core value lies in bridging technology and business, allowing intelligent agents to adapt to the differentiated needs of various financial institutions such as banks, insurance companies, and securities firms [2] Group 2: Intelligent Core - The Ant Group financial large model serves as the "brain" of the platform, characterized by reliability, controllability, and optimizability [3] - Compared to general large models, it excels in language understanding, knowledge retention, logical reasoning, and mathematical calculation within the financial domain, forming proprietary models through secondary training with high-quality financial data [3] Group 3: Knowledge Engineering - The platform standardizes financial knowledge assets, enabling intelligent agents to possess deep professional capabilities [4] - It constructs six major knowledge bases, over 20 types of knowledge, and eight knowledge mining pathways, covering comprehensive financial knowledge from product terms to market dynamics [4] Group 4: Service Integration - The platform aggregates hundreds of enterprise-level intelligent capabilities, forming a "financial service supermarket" [5] - It includes core services such as fund holding penetration, investment research analysis, and enterprise risk control, allowing enterprises to quickly deploy intelligent applications and lower technical implementation barriers [5] Group 5: Security and Compliance - A comprehensive security and compliance framework covers the entire process from business research to model training and operational launch, ensuring adherence to financial compliance, privacy protection, and technological ethics [6] - A dual-track evaluation system, involving authoritative experts, drives continuous optimization of intelligent agents, ensuring the rigor, authority, and practical value of the output [6] Group 6: Collaborative Value - The five supports create a complete closed loop of "technical foundation - intelligent core - knowledge fuel - capability interface - security defense," enabling financial intelligent agents to possess expert-like professional capabilities while controlling risks through compliance and evaluation mechanisms [7]