Based on this, cloopen has upgraded its new large-scale model application, "Knowledge Assistant", which is deeply adapted based on the DeepSeek R1 large model. With three core capabilities of enterprise-level AI search, scenario-based knowledge questioning, and private deployment, it provides intelligent knowledge solutions for enterprises, making cutting-edge AI technology truly become the "production engine" of the enterprises.
The core highlights include:
- Enterprise-level AI search: Utilizing semantic understanding capabilities, it enables in-depth analysis and intelligent retrieval of complex documents, supporting multi-dimensional search requirements and enhancing search efficiency.
- Knowledge base AI assistant: Creating a scenario-based AI question-answering engine, adaptable to multiple roles, ensuring the timeliness and authority of answers, and avoiding illusion risks.
- Private DeepSeek service: Local deployment ensures data security, supports seamless integration with existing systems, and enhances the intelligence of business processes.
- The application scenarios in the financial industry include:
- Intelligent customer service: Dynamic knowledge integration enhances consultation handling efficiency and reduces the rate of manual transfers.
- Credit risk control: Establishing a private knowledge base improves the efficiency of credit inquiries and the accuracy of risk warnings.
- Compliance management: Creating a dynamic policy library shortens the response time for policy updates and enhances the efficiency of compliance audits.
The core value is as follows:
- Deep internalization of industry Know-How: Specialized model tuning to solve professional problems, breaking through the specific problems of enterprise private domains.
- Capabilities for large and medium-sized enterprise deployment: Supporting high-concurrency architecture, adapting to various architectures, and improving the utilization rate of knowledge and the efficiency of employee training.
- Secure and trustworthy AI new infrastructure: Establishing a triple protection system, supporting manual correction and feedback, and enabling continuous optimization of the model.