Xiamen University DeepSeek Large Model Empowering Universities, Enterprises, and Government (PDF File) - AI Tutorial Materials

"DeepSeek Large Model Empowering University Teaching and Research"

"DeepSeek Large Model Empowering University Teaching and Research" was released by the Xiamen University Big Data Teaching Team. The report introduces in detail the development history of artificial intelligence, the concepts, principles, and classifications of large models, and focuses on exploring the application of the DeepSeek large model in universities. As a powerful AI tool, DeepSeek is used in universities for local deployment, supporting teaching automation, research assistance, and academic resource analysis, etc. The report introduces how agents based on large models can assist university teaching and research, emphasizes the advantages of AI application in universities, such as improving teaching efficiency, promoting personalized learning, and assisting scientific research innovation, while also pointing out the limitations of AI and reminding teachers and researchers to use it reasonably.

Artificial Intelligence and Large Models：

• Turing Test and Origins: The Turing Test is the theoretical foundation of artificial intelligence, and the 1956 Dartmouth Conference marked the birth of artificial intelligence.
• Development Stages and Trends: Artificial intelligence has gone through six development stages, and there may be five new stages in the future. Large models are the current core technology, based on the Transformer architecture, and widely used in many fields.
• Characteristics of Large Models: Characterized by large parameters, big data, and high computing power, they are divided into types such as language, vision, and multimodal, promoting intelligence across various industries.

Local Deployment of DeepSeek in Universities：

• Limitations and Advantages: Online large models have problems such as privacy and insufficient customization, while local deployment of DeepSeek can achieve efficient offline use, flexible customization, and data security.
• Solutions: Based on model fine-tuning and local knowledge bases, meeting the specific needs of university research and teaching.

AIGC Applications and Practice：

• AIGC Concept: Based on large models to generate text, images, speech, video, and other content, widely used in many fields.
• Practical Applications: Text-based models are used in writing and PPT creation; image-based models are used in image generation and restoration; speech-based models are used in intelligent assistants; video-based models are used in video generation and processing.

AI Empowers Universities：

• Research Applications and Risks: AI helps with rapid paper publication, scientific exploration, data analysis, etc., but vigilance is needed against "hallucinations" and academic misconduct risks.
• Teaching Applications and Collaboration: AI is used in personalized learning, intelligent teaching assistants, teaching quality assessment, etc. Teachers need to collaborate with AI to drive educational innovation.

"DeepSeek Large Model and Its Enterprise Application Practice"

"DeepSeek Large Model and Its Enterprise Application Practice" was launched by the Big Data Teaching Team of Xiamen University and mainly focuses on the DeepSeek large model and its application practice in enterprises. The report introduces the concept, development history, classification of large models and their relationship with artificial intelligence, emphasizing powerful learning ability, generalization ability and language generation ability. It discusses in detail domestic and international large model products and evaluates the "hallucination" phenomenon of mainstream large models. The report focuses on analyzing the application fields of large models in different industries, especially the application scenarios of the DeepSeek large model in customer service, personalized recommendations, education, healthcare, finance and many other fields. The report discusses implementation solutions for enterprise large models, including deployment methods, planning routes, technical architecture design, etc., and puts forward strategic suggestions for the implementation of large model applications. The report introduces the concept of intelligent agents and their applications in enterprises, as well as enterprise-level large model services provided by vendors. Based on specific cases, it demonstrates the application effects of large models in actual business and looks forward to future development trends.

Core Concepts and Classification of Large Models：

• Definition and Characteristics: Large models are important achievements in the field of artificial intelligence, featuring a huge number of parameters, large training data volume, high computing resource requirements, powerful learning ability, generalization ability and language generation ability.
• Classification: Large models are classified from different dimensions, such as language large models, vision large models, multimodal large models, and general large models (L0), industry large models (L1), vertical large models (L2), etc.

Domestic and International Large Model Products and Their Characteristics：

• International Products: Such as ChatGPT, Gemini, Sora, OpenAI o3, etc., with powerful language generation capabilities and wide application scenarios.
• Domestic Products: Such as DeepSeek, Tongyi Qianwen, Doubao, Wenxin Yiyan, Kimi, etc. The January 2025 domestic large model ranking demonstrates the current development status of domestic large models.

Industry Applications of Large Models：

• Wide Range of Application Fields: Large models are widely used in many fields such as natural language processing, computer vision, speech recognition, recommendation systems, healthcare, financial risk control, industrial manufacturing, bioinformatics, autonomous driving, climate research and more.
• Application Scenarios of the DeepSeek Large Model: Covering many fields such as customer service and support, personalized recommendations, education and training, healthcare, finance and investment, content creation and media, smart home and IoT, law and compliance, gaming and entertainment, etc.

Implementation Solutions for Enterprise Large Models：

• Empowering Role: Enterprise AI large models play an important role in reducing costs, improving efficiency, optimizing business processes, and improving product quality.
• Diverse deployment methods: Including local/intranet deployment, cloud deployment, edge deployment, containerized/microservices deployment, hybrid deployment, federated deployment, etc. There are detailed explanations for the deployment scenarios of the DeepSeek large model.

Enterprise applications of intelligent agents：

• Concept of intelligent agents: Intelligent agents (AI Agents) have characteristics such as autonomy, interactivity, and adaptability, and can play an important role in handling complex tasks.
• Intelligent agent products: Such as Operator and Deep Research released by OpenAI, as well as intelligent agent development platforms launched by domestic products such as Coze (Kouzi) and Alipay.

Enterprise-level large model services provided by vendors：

• Implementation solutions: Different types of suppliers (such as cloud vendors, AI application companies, and emerging large model application development service providers) provide enterprise-level large model implementation solution services, each with its own characteristics and advantages.
• DeepSeek large model all-in-one machine: It features full-size model support, dynamic resource scheduling, deep adaptation to industry scenarios, full lifecycle management, data security, and localized deployment.

Typical application cases of large models: Such as the RuiPath pathology large model released by Ruijin Hospital and Huawei, the Dongguan Artificial Intelligence Large Model Center, Yunnan Baiyao's "Large Model Application Development Platform", and Yunhe AI Industry Advisor from Xiamen Hequ Information Technology Co., Ltd., etc., demonstrating the practical application effects and value of large models in different industries.

AIGC and enterprise application practice：

• AIGC concept: AIGC (Artificial Intelligence Generated Content) is a technology that uses artificial intelligence technology to generate various forms of content.
• Rich application scenarios: AIGC is widely used in many fields such as e-commerce, office work, gaming, entertainment, film and television, animation, art, education, design, media, and daily life. Common AIGC large model tools include ChatGPT, DeepSeek, iFlytek Spark, Tongyi Qianwen, Wenxin Yiyan, Doubao, Kimi, etc.

"DeepSeek Large Model Empowering Government Digital Transformation"

"DeepSeek Large Model Empowering Government Digital Transformation" was launched by the Big Data Teaching Team of Xiamen University, and its theme is how the DeepSeek large model empowers government digital transformation. The report introduces in detail the concept, development history, classification of large models and their wide application in government services and work. It discusses the necessity for government departments to deploy large models locally, the selection of technical solutions, and the application effects and security of the DeepSeek all-in-one machine in government departments. The report analyzes various application forms of the DeepSeek large model in government services, such as intelligent government affairs consultation, policy interpretation, and urban governance, and proposes existing problems and countermeasures in applications. It discusses the application scenarios of intelligent agents in government work, and the practice of AIGC (Artificial Intelligence Generated Content) technology in government work, including applications in text, image, voice, video generation, and auxiliary programming, etc.

Core concepts of large models: Large models are models with a huge number of parameters, large amounts of training data, and high computing resource requirements. They have the advantages of strong contextual understanding, strong language generation ability, and high transferability.

Classification and Products of Large Models：

• Classification: language large models, vision large models, multimodal large models, general large models (L0), industry large models (L1), vertical large models (L2).
• Foreign Products: ChatGPT (language generation), Gemini (multimodal), Sora (video generation), etc.
• Domestic Products: DeepSeek (efficient and secure), Tongyi Qianwen (widely used), Wenxin Yiyan (language generation), etc.
• Hallucination Phenomenon: Large models may generate erroneous information, and output content needs to be verified.

Application Value of Large Models in the Government Affairs Field: Large models are used in intelligent government affairs consultation, policy interpretation, urban governance, etc., to improve service efficiency. Local deployment of DeepSeek all-in-one machines can ensure data security and promote government affairs intelligence.

Application of Agents in Government Affairs：

• Concept: Agents have autonomy, interactivity, and adaptability.
• Difference from RAG: Agents are more autonomous, while RAG focuses on retrieval augmentation.
• Application Scenarios: material review, data filling, text quality control, intelligent Q&A, etc.

Application Practices of AIGC in the Government Affairs Field：

• Text Category: DeepSeek assists in official document writing.
• Image Category: generate posters, etc.
• Voice Category: intelligent voice assistants, customer service, etc.
• Video Category: text-to-video, image-to-video, etc.

Application of AI in the Office Field：

• AI Search: multimodal search, intelligent tool integration.
• AI Intelligent Office: assistant functions such as writing, design, and data analysis.

Security Risks and Countermeasures of Government Affairs Large Models：

• Risks: corpus, applications, generated content, data security, etc.
• Countermeasures: assess needs, ensure data security, and establish security mechanisms.

The Relationship Between Government Affairs Large Models and Civil Servants: Government affairs large models will not replace civil servants, but assist decision-making; human-machine collaboration is the future trend.

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"DeepSeek Large Model Empowering Government Digital Transformation"

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