In today's rapidly evolving world of Artificial Intelligence (AI), theDeepSeekAs a powerful inference model, it is gradually becoming the tool of choice for many developers and content creators. This document "DeepSeek: From Beginner to Master", written by the Metaverse Culture Lab, Center for New Media Studies, School of Journalism and Communication, Tsinghua University, provides us with a detailed introduction to DeepSeek's core features, application scenarios, and how to use it efficiently. Below is a comprehensive explanation of this document.
I. What is DeepSeek?
DeepSeek is an inference model focused on general artificial intelligence (AGI) that excels at complex tasks, particularly in logical reasoning, mathematical problem solving, and programming support. The documentation mentions:
“DeepSeek is a Chinese tech company focusing on general artificial intelligence (AGI), specializing in big model development and application. deepSeek-R1 is its open source inference model, which is good at handling complex tasks and commercially available for free.”
DeepSeek-R1 enhances its logical reasoning and problem solving capabilities through reinforcement learning, neural symbolic reasoning, and other techniques, enabling it to excel in handling complex tasks.
Two,What can DeepSeek do?
DeepSeek is very powerful, covering a wide range of areas such as text generation, natural language understanding, and programming support. The documentation lists its application scenarios in detail:
- Text Generation：
- Essay, story, and poetry writing
- Marketing copywriting, tagline generation
- Social Media Content Creation
- Long Text Summaries and Multilingual Translation
- Natural Language Understanding and Analysis：
- Sentiment analysis, intent recognition
- Intellectual reasoning, logical problem solving
- Entity extraction, text categorization
- Programming and code related：
- Code generation, auto-completion
- Bug Analysis and Fixing Suggestions
- API Documentation Generation
- Routine mapping and data visualization：
- Support for turning complex data into intuitive charts and graphs
III. How to use DeepSeek?
Using DeepSeek is very simple, and users can do so through its official website https://chat.deepseek.com directly access and use its functionality. The documentation also provides a detailed methodology for designing prompts to help users better interact with the model:
“When everyone uses AI, how do you use it better and more colorfully?”
Prompts are key to user interaction with the AI. The documentation mentions that prompts for inference models should be concise and directly express the task goal, whereas generic models require more detailed guidance. Example:
- inference model: Simply specify the task goals and requirements, and the model will automatically generate a structured reasoning process.
- universal model: A step-by-step guide is needed to clarify the input and output formats.
Four,Key Strategies for Getting Started to Mastery
DeepSeek: from Getting Started to Mastery not only introduces the basic functionality of the models, but also delves into how efficient AI applications can be realized through cue design and model selection. The document mentions:
“Reasoning models are models that can build on traditional large language models to enhance reasoning, logical analysis, and decision-making capabilities.”
DeepSeek-R1 is just such an inference model, which excels in mathematical derivation, logical analysis and complex problem disassembly. The general-purpose model, on the other hand, is better suited for tasks such as text generation, creative writing, and multi-round conversations.
Five,The Art of Prompt Design
Prompts are key to user interaction with AI, and the documentation provides a wealth of tips for prompt design. For example:
“Prompts are more concise, only task goals and needs need to be clarified (as they have internalized reasoning logic).”
In addition, the concept of cued speech chaining is introduced, which gradually guides the AI to generate high-quality content by breaking down a complex task into multiple subtasks. For example:
- Breakdown of tasks: Break down complex tasks into multiple independent steps.
- lead gradually: At the end of each step of the operation, the model is requested to summarize or validate the intermediate results.
- Dynamic feedback: Self-improvement based on the output of the previous round.
Six,Practical skills and application scenarios
The documentation also provides a wealth of hands-on tips and application scenarios to analyze. For example, in terms of content creation, the document details how to utilize DeepSeek to generate copy, marketing plans and brand stories. It also discusses how to optimize content creation strategies for different social media platforms:
“The three main elements of copywriting: messaging, emotional resonance, and action leading.”
This content not only helps to improve the quality of writing, but also helps users to better understand how to apply AI to real-world work.
Seven,AI Advanced Usage
The documentation also explores several aspects of advanced AI use, including cue word engineering, cue word frames, and important skills for the age of human-computer symbiosis. For example, the TASTE framework and the ALIGN framework can help users design cues more systematically:
“The TASTE framework: Task, Audience, Structure, Tone, Example.”
Through these methods, users can better utilize DeepSeek for knowledge generation, knowledge integration, and innovative applications.
concluding remarks
"DeepSeek: From Beginner to Expert" is a highly valuable AI learning manual, suitable for users who want to gain a deeper understanding and master AI tools. It not only covers comprehensive knowledge of DeepSeek but also provides abundant practical tips and prompt design methods. Through this document, you will be able to quickly get started with DeepSeek and achieve innovative applications in knowledge, technology, and tools.
download link
If you are interested in DeepSeek, you can download the full documentation at the link below: