Tsinghua University DeepSeek from Beginner to Expert (PDF file) - AI Tutorial Materials

DeepSeek from Beginner to Expert

"DeepSeek from Beginner to Expert" is written by Dr. Yu Menglong and her team from the Metaverse Culture Lab of the New Media Research Center, School of Journalism and Communication, Tsinghua University. The core content of the document revolves around the technical features, application scenarios, usage methods, and how to improve skills through prompt design in DeepSeek.AIThis section covers aspects such as efficiency to help users go from beginner to expert in using DeepSeek.

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I. Introduction to DeepSeek

• What is DeepSeek?
  • A company focused on generalartificialintelligent(AGI) is a Chinese technology company that focuses onLarge ModelResearch and development and application. DeepSeek-R1 is...open sourceThe inference model is good at handling complex tasks and can...freeCommercial use. Key features:AI + Domestic + free + open source + powerful.
  • Provide directly to users or support developersintelligentIt supports various application scenarios such as dialogue, text generation, semantic understanding, computational reasoning, and code generation and completion. It supports online search and deep search modes, as well as file upload and can scan and read text content from various files and images.

  II. How to use DeepSeek

  • Use platformVisit the DeepSeek official website.
  • Choice between inference models and general modelsChoose the appropriate model based on the task type (such as DeepSeek-R1).
    • Inference ModelProficient in mathematical derivation, logical analysis, and code generation, suitable for tasks with high logical density.
    • General ModelProficient in text generation, creative writing, and multi-turn dialogue, suitable for highly diverse tasks.

    III. Prompt Design andAIInteraction

    • Definition and types of prompts
      • The prompt is entered by the user.AISystem instructions or information used for bootingAITo generate specific output or perform specific tasks, prompts can be generated. These include instruction-based, question-and-answer, role-playing, and creative prompts, emphasizing the importance of choosing the appropriate prompt strategy based on the task type.
      • Problem restructuring, creative guidance, outcome optimization, cross-domain integration, systems thinking
      • Contextual understanding, abstraction ability, critical thinking, innovative thinking, ethical awareness

      IV. The DNA and Combination Strategy of Prompts

      • Basic element classification of prompts
        • Information, Structure, and Control
        • Improve output accuracy, enhance creative thinking, and optimize task execution efficiency.

        V. TrainingAISecrets to Success: Key Strategies and Common Pitfalls

        • Key Strategies for Prompt Design
          • Strategies such as precisely defining tasks, breaking down complex tasks, and designing guiding questions
          • Common pitfalls and coping strategies include: lack of iteration, excessive instructions, assumption bias, illusion formation, and ignoring ethical boundaries.

          six,AIEthics and limitations

          • AIHallucinations and their causes
            • AIIt addresses potential ethical issues, such as privacy protection, fairness, and transparency, and provides corresponding strategies.AIHallucination (AI Hallucinations (phenomenon)AIThe system generates seemingly reasonable but actually erroneous content, analyzes the reasons for its generation, and proposes solutions.
            • Includes interpretability, data bias, and real-time updates.
            • Privacy protection, fairness, transparency, etc.

            VII. Practical Skills and Case Studies

            • Prompt design for different needs
              • Through multiple practical case studies, this demonstrates how to design effective prompts based on different task requirements, including prompt design for various requirement types such as decision-making, analysis, creativity, verification, and execution.
              • Provides detailed prompt examples and practical tips to help users better understand and apply them.AItechnology.
              • Optimization strategies for prompts such as thinking expansion, convergent thinking, cross-disciplinary thinking, and deep integration

              VIII. Advanced Prompt Design Methods

              • Innovative Design Strategies
                • Innovative design strategies such as the abstract-concrete cycle, reverse design thinking, paradoxical thinking, and emergent thinking models.
                • Complex task decomposition,MultimodalInformation processing, quality control, etc.
                • Advanced techniques such as Pragmatic Intent Analysis (PIA), Topic Focusing Mechanism (TFM), and Detail Enhancement Strategy (DES)

                IX. Prompt Design for Specific Application Scenarios

                • CopywritingInformation delivery, emotional resonance, and action guidance
                • Marketing planningCreative concept, communication strategy, and execution plan
                • Brand StoryBrand positioning, value proposition, and future vision
                • Year-end summaryPerformance review, achievements showcase, and future plans.
                • Social media content creationWeChat Official Accounts, Weibo, Xiaohongshu, Douyin

                10. Human-Machine Symbiosis and Capability Development

                • Human-Machine Symbiosis Era Capability Development System
                  • Four core competencies:AIThinking ability, integration ability, guidance ability, judgment ability
                  • TASTE, ALIGN
                  • Knowledge awakening,AIAssisting brainstorming; knowledge integration,AIAssisted correlation analysis; knowledge innovation to form structured prompts
                  • Basic usage, advanced usage, innovative usage; establishingPrompt wordsSystems, collaborative process design, innovative methodologies, and personal brand building.

                  XI. Summary and Outlook

                  AIThe future of technology will focus on improving model performance,MultimodalThe development is moving towards greater integration, ethical and sustainable development, deeper industry integration, and closer human-machine collaboration.

                  Prompt wordsDesign, as a key element of human-computer interaction, is important because it can accurately convey user needs and improve...AIPerformance should be optimized while avoiding misunderstandings and biases, and continuous optimization requires adjustments and integration based on task requirements.AIFeedback is used for iteration and continuous learning.up to dateThe research findings aim to achieve cross-disciplinary innovation.

                  Human-machine collaboration has enormous potential to improve work efficiency, accelerate innovation, and promote knowledge sharing and personalized services, but it also faces challenges such as building trust, clarifying responsibilities, updating skills and knowledge, and addressing ethical and legal issues.

                  When everyone can useAIHow can you use it better and more brilliantly?

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