BEIJING, Feb. 21, 2025 /PRNewswire/ -- Inspur Information announced that the Metabrain Enterprise Intelligence (EPAI) enterprise big model development platform has been fully connected to support DeepSeek big models. Through Metabrain Enterprise Intelligence (EPAI), enterprise users can combine business data with DeepSeek big models, deeply develop model potential, quickly realize localized deployment of DeepSeek, and build exclusive intelligent applications with high accuracy, security and stability. Actual test data shows that the answer accuracy of enterprise applications developed by DeepSeek on Metabrain Enterprise Intelligence (EPAI) has reached 95%.
Enterprises face many challenges in implementing DeepSeek
The DeepSeek R1 671B large model has attracted widespread attention due to its excellent performance and broad application prospects. However, in the actual implementation of DeepSeek, enterprises face many challenges such as insufficient adaptation of private knowledge, dynamic changes in knowledge, and large model hallucinations, which limit its application potential in specific scenarios.
First, the application scenarios of enterprises are often highly unique and professional, especially in the financial and medical industries, whose business logic is complex and involves a large number of professional terms, regulations, policies and internal processes. These enterprises need intelligent tools that can understand and apply their private knowledge. However, the training data of DeepSeek's large model mainly comes from public information in general fields and lacks deep adaptation for professional fields. This innate knowledge mismatch makes it difficult for DeepSeek to provide accurate answers when dealing with professional problems within the enterprise, and cannot meet the enterprise's demand for high-precision answers.
Secondly, the knowledge within an enterprise is not static, but will be constantly updated with business development and technology iteration. If the model fails to learn and adapt to these dynamic changes in a timely manner, the accuracy of its output will further decline. Especially in application scenarios involving real-time data analysis or rapid decision support, the lag of the model may have serious consequences.
In addition, when large models generate content, they will inevitably encounter "hallucination" problems, that is, information that is inconsistent with the facts or lacks basis. This phenomenon may have limited impact in general scenarios, but in fields such as law and medicine that require extremely high accuracy, hallucination problems will bring potential risks. How to effectively reduce the incidence of hallucinations in large models and improve the reliability and accuracy of generated content has become a focus of common concern in the industry.
Therefore, to truly realize the application of DeepSeek, the knowledge accumulated by the enterprise itself must be deeply integrated with DeepSeek, and the model performance must be optimized through model fine-tuning, prompt engineering, knowledge base, etc. This process requires extremely high technical capabilities of the enterprise. In addition, enterprises also face the dual pressure of data security and privacy protection.
Metabrain EPAI+DeepSeek , giving enterprises a boost in large-scale model application development
In the face of the above challenges, Metabrain Enterprise Intelligence EPAI is fully compatible with DeepSeek R1 671B to help enterprise users deeply integrate business data with DeepSeek and quickly create highly accurate, secure and stable enterprise-specific intelligent applications. Metabrain Enterprise Intelligence EPAI is Inspur Information's solution for the implementation of large model applications. It can provide an efficient, easy-to-use and secure end-to-end development platform for the implementation of enterprise AI large model applications, helping enterprises to efficiently develop and deploy generative AI applications and create intelligent productivity.
- Four core tools, DeepSeek answer accuracy is greatly improved
In terms of answer accuracy optimization, Yuannao Enterprise Intelligence (EPAI) has built a full-link quality improvement system from model fine-tuning to application development. Yuannao Enterprise Intelligence (EPAI) supports enterprises to deeply combine private business data with DeepSeek, and form highly professional private models through domain fine-tuning, fundamentally improving the accuracy of knowledge question and answer. In response to the "hallucination" problem of DeepSeek, Yuannao Enterprise Intelligence (EPAI) integrates four core tools: knowledge retrieval, plug-in management, prompt word engineering, and intelligent agent orchestration. The knowledge retrieval module adopts the end-to-end optimized RAG pipeline architecture, with a built-in embedded model (Embedding model) Yuan-EB designed specifically for enhancing Chinese text retrieval capabilities. It won the retrieval task championship in the authoritative embedding model test list C-MTEB, and can effectively improve the retrieval accuracy of the RAG system. Combined with leading hybrid retrieval and result re-ranking technology, the end-to-end retrieval accuracy exceeds 90%. The plug-in module supports real-time access to the enterprise knowledge base and business system to ensure the accuracy and timeliness of information acquisition. The intelligent agent orchestration module can establish a multi-model collaborative working mechanism and reduce the risk of single model deviation through decision chain design. Actual test data shows that the answer accuracy rate of the enterprise application developed by DeepSeek on EPAI reaches 95%.
- Low code + visualization, significantly improving development efficiency
In terms of development efficiency, Metabrain Enterprise Intelligence EPAI has innovatively built a "low-code + visualization" full-stack development environment. It integrates mainstream frameworks such as vLLM and transformer to enable DeepSeek full-parameter model services to be launched in minutes. In terms of model fine-tuning, Metabrain Enterprise Intelligence EPAI supports the completion of fine-tuning data production, domain model fine-tuning and evaluation through low code. In application development, a dual-mode construction system is provided. Conversational applications support the configuration of assistant parameters through natural language, and the visual workflow editor supports the drag-and-drop construction of complex business logic. Both can automatically generate standardized API interfaces. The practice of a manufacturing enterprise shows that the use of Metabrain Enterprise Intelligence EPAI to develop quality inspection intelligent applications has shortened the demand response cycle from 3 weeks of traditional coding development to 3 days, and the development efficiency has increased by more than 5 times.
- Multi-layer protection mechanism ensures DeepSeek is safe and stable
In terms of system stability assurance, Metabrain Enterprise Intelligence (EPAI) adopts an intelligent elastic architecture design. The resource scheduling system monitors QPS fluctuations in real time, and can dynamically scale up and down computing resources within 1 second to achieve stable processing of high concurrency. Metabrain Enterprise Intelligence (EPAI) introduces service fault tolerance, which enables seamless service switching in the event of hardware failure, ensuring 99.99% availability throughout the year. The security system builds a multi-layer protection mechanism, covering model input filtering, output review, data encryption transmission and other links to ensure the security and privacy of generated content, thereby ensuring that enterprises can use DeepSeek safely and stably.
Inspur Information is a global leading provider of IT infrastructure products, solutions and services. By developing a new generation of system-centric computing architecture, it creates open, diverse and green Meta-brain intelligent computing products and solutions. Inspur Information is committed to the research and development of AI computing platforms, resource platforms and algorithm platforms, and works with leading partners through the Meta-brain ecosystem to accelerate the innovation and application of artificial intelligence.
