DeepSeek: From Beginner to Expert

Introduction to DeepSeek

• What is DeepSeek: A Chinese technology company focused on general artificial intelligence (AGI), primarily engaged in the research and application of large models.

• DeepSeek-R1: An open-source inference model that excels at handling complex tasks and is available for free commercial use.

Functions of DeepSeek

• Intelligent dialogue, text generation, semantic understanding, computational reasoning, code generation and completion, etc.

• Supports online search, deep thinking mode, file uploads, and image text recognition.

• Wide application scenarios, including business analysis, resource optimization, data visualization, knowledge organization, logical reasoning, etc.

How to Use DeepSeek

• Access via the official website https://chat.deepseek.com.

• Provides functions such as intelligent dialogue, text generation, code generation, and supports file uploads and image text recognition.

From Beginner to Expert

• The difference between inference models and general models: Inference models excel at logical reasoning, mathematical derivation, and other complex tasks, while general models are better at text generation and creative writing.

• Prompt strategy: Choose the appropriate model and prompt strategy based on the task type; inference models require concise instructions, while general models need structured guidance.

Prompt Design

• The basic structure of prompts: Instruction, context, expectation.

• Types of prompts: Instructional, Q&A, role-playing, creative, analytical, multimodal prompts, etc.

• Core skills of prompt design: Problem construction ability, creative guidance ability, result optimization ability, cross-domain integration ability, system thinking, etc.

Prompt Chain Design

• The concept of prompt chains: Decomposing complex tasks into multiple sub-tasks to ensure the generated content is logically clear and thematically coherent.

• The mechanism of prompt chains: Task decomposition and integration, thinking framework construction, knowledge activation and association, creative guidance and expansion, quality control and optimization, etc.

AI Hallucination and AIGC Evaluation

• AI hallucination: Generative AI models produce fictitious or inaccurate content when lacking relevant information.

• AIGC evaluation: Risk assessment and ideological security assessment of AI-generated content through national-level projects and automated evaluation systems.

Innovative Prompt Design

• Abstract-Concrete Cycle Method: Flexibly switch between different levels of abstraction for iterative optimization.

• Reverse Design Thinking: Work backward from the generated result to the prompt structure.

• Contradictory Thinking Method: Use opposing concepts to promote innovation.

Copywriting and Marketing Planning

• The three elements of copywriting: Information transmission, emotional resonance, action guidance.

• The core elements of marketing planning: Creative concept, communication strategy, execution plan.

Platform Characteristics and Content Strategy

• WeChat Official Account: Private traffic, in-depth reading, standard system, interaction mechanism.

• Weibo: Real-time, social attributes, topic guidance, multimedia integration.

• Xiaohongshu: Grass-planting ecology, community atmosphere, vertical professionalism.

• Douyin: Visualization, emotional fullness, strong interactivity, plot and storytelling.

Advanced AI Usage

• AI Thinking: Understanding AI’s decision logic, data-driven analysis, grasping the boundaries of AI capabilities.

• Guidance Ability: Designing efficient instructions, controlling interaction direction, optimizing problem structure.

• Integration Ability: Cross-domain translation, creative reorganization, resource arrangement, knowledge integration.

• Judgment Ability: Assessing content reliability, judging application value, anticipating potential risks.

Human-Machine Symbiosis and Knowledge Awakening

• The core mechanism of knowledge awakening: Achieving deep mobilization and innovative generation of knowledge through a spiral rise of emotions, experiences, and associations.

• AI-assisted knowledge generation evolution: Enhanced knowledge acquisition, upgraded knowledge integration, breakthrough in knowledge innovation.

AI Usage Levels and Breakthrough Paths

• Basic Usage Level: Single task, simple prompts, passive application.

• Advanced Usage Level: Task combinations, structured prompts, active optimization.

• Innovative Usage Level: Process reengineering, prompt art, creative applications.

Conclusion

• Factors affecting the quality of human-machine symbiosis: Prompt engineering, quality control, and creative guidance are key factors affecting generation quality.

• Advanced AI usage: From knowledge awakening to prompt construction, gradually enhancing the level of AI usage to create personal characteristics and unique competitiveness.