Tsinghua University DeepSeek User Manual-DeepSeek from Beginner to Proficiency

Part 1: DeepSeek Overview and Core Functions 1.1 DeepSeek's positioning and development DeepSeek is a China technology company focusing on the research and development of General Artificial Intelligence (AGI). Its core products include the open source reasoning model DeepSeek-R1. This model is characterized by "domestic, free, open source, and powerful". It is good at handling complex tasks and supports diversified scenarios such as intelligent dialogue, text generation, semantic understanding, computational reasoning, code generation and completion. DeepSeek is not only for ordinary users, but also provides technical support to developers, supporting online search, file uploading, and multimodal content processing (such as scanning images and text). Its goal is to promote the in-depth application of artificial intelligence in business, education, scientific research and other fields through technological innovation. 1.2 Analysis of core functions DeepSeek's functional system covers the following three major directions: Text generation: Including creative writing (such as poetry, marketing copywriting), long text summaries, multi-language translation, structured content generation (such as tables, code annotations), etc. Natural language understanding and analysis: Support tasks such as emotion analysis, intention recognition, entity extraction, and knowledge reasoning (such as logical problem solving, causal analysis). Programming and code support: Provide functions such as code generation, debugging suggestions, and technical document processing (such as automatic generation of API documents). In addition, DeepSeek has powerful drawing capabilities and can generate flow charts, data visualization charts (line charts, radar charts) and mind maps to meet complex information presentation needs. Part 2: The Art and Science of Prompt Design 2.1 The basic framework of prompts Prompt is the core tool for users to interact with AI. Its structure contains three major elements: Instructions: Clarify mission goals (e.g.,"generate an article on climate change"). Context: Provide background information (e.g.,"Target audience is high school students"). Expectation: Define the output format and quality standards (e.g."Use concise language, including three cases"). 2.2 Prompt types and strategies According to task requirements, prompts can be divided into six categories: Directive type: Assign tasks directly (such as "Quick Sort in Python"). Question and answer type: Ask questions and expect answers (such as "Why choose gradient descent?"). Role-playing: Set specific identities (e.g.,"Suppose you were a 10th century historian"). Creative: Stimulate innovative content (such as "writing adventure stories in Hemingway's style"). Analytical: Require logical reasoning (such as "analyzing ethical conflicts in the tram problem"). Multimodal: Combine text and image input (e.g."generate analytical reports based on charts"). Key strategies include: Accurately define tasks: Reduce ambiguity, such as clarifying the number of words, format, and keywords. Break down complex tasks: Break down large problems into subtasks (e.g.,"explain principles before writing code"). Balance open and closed prompts: open questions inspire creativity, closed prompts ensure accuracy. 2.3 Common pitfalls and responses Hypothetical bias trap: AI output may be biased towards a user's preset position. Response strategies include requiring multi-perspective analysis and cross-verification of information. Illusion generation trap: AI fictionalizes false information. Clear requirements need to be made to distinguish between facts and speculation and to cite reliable sources. Excessive command trap: Long hints limit AI creativity. Core instructions should be simplified and room for flexibility should be retained. 2.4 High-level Skills: Prompt Chains and Meta-Narrative Frameworks Prompt chain: Guide AI to gradually complete tasks through serialized prompts, such as "task definition → knowledge activation → content generation → logical sorting". Meta-narrative framework: Designing reflexive content, such as requiring AI to comment on the creation process while generating stories to enhance the depth of content. Part 3: Multi-platform content strategies and prompt practices 3.1 Weixin Official Accounts: In-depth reading and brand building Content characteristics: private domain traffic, long text logic, standard audit. Prompt design: Topic selection planning: Combine hot topics with persistent topics, such as "generate 10 topics on AI ethics." Title creation: Emphasize information density and differential value (such as "AI Trends in 2024:3 Disruptive Changes"). Structural design: Adopt the framework of "problem background → analysis → solution" and incorporate interactive nodes (such as questions at the end of the text). 3.2 Weibo: Short-term and fast communication and topic explosion Content characteristics: real-time, strong interaction, multimedia integration. Prompt design: Hot follow-up: Quickly generate three-stage content of "event statement + professional interpretation + extended thinking". Topic guidance: Design controversial questions (such as "Should AI have civil rights?"), Stimulate user discussion. 3.3 Xiaohong Book: Planting grass communities and building trust Content characteristics: visualization, scene, emotional resonance. Prompt design: Trust building: Require the sharing of real experiences (such as "Describing three scenarios of using the product"). Title optimization: Include specific numbers and value commitments (such as "Losing 5kg in 30 Days: My Fitness Diet"). 3.4 Douyin: Emotional driving and efficient communication Content characteristics: Visual impact, tight rhythm, and full of emotion. Prompt design: Script creation: Design the plot structure of "suspense beginning → conflict unfolding → reversal ending". Interactive guidance: Add a call to the end (such as "What would you choose?" Tell me in the comment area "). Part 4: Core competencies in the era of human-machine symbiosis