DeepSeek Usage Guide: Basic Commands, Advanced Tips, and Real-World Examples 69

小编 · 2025-02-17

Here is a curated collection of tutorials and guides on DeepSeek, the hottest topic lately. We'll walk you through four sections — getting to know DeepSeek, how to use it, basic usage, and the DeepSeek command guide — to help you quickly master basic operations, advanced tips, and real-world applications. Whether you're a developer or a researcher focused on algorithm optimization, we hope you'll find the key to boosting your productivity in this guide.

DeepSeek Usage Guide: Basic Commands, Advanced Tips, and Real-World Examples

Regarding the recently popular DeepSeek, we've put together some tutorials and guides about DeepSeek to share with everyone. We will walk you through four sections—from the ground up—getting to know DeepSeek, how to use DeepSeek, the basic usage of DeepSeek, and a guide to DeepSeek prompting—so that you can quickly master DeepSeek's foundational operations, advanced techniques, and real-world applications. Whether you are a developer or a researcher focused on algorithm optimization, we hope you'll find the key to boosting your efficiency in this guide.

1. Getting to Know DeepSeek

What is DeepSeek?

DeepSeek (深度求索) is a tech company focused on fundamental artificial intelligence technology research. It is dedicated to exploring the path toward AGI (Artificial General Intelligence), concentrating on the R&D and application of large models, and providing efficient, secure, and controllable AI technology solutions.

Company Background

Founded: 2023

Headquarters: Hangzhou, China

WeChat Official Account: DeepSeek

Xiaohongshu: @DeepSeek (deepseek_ai)

X (Twitter) : DeepSeek (@deepseek_ai)

What Can DeepSeek Do?

Directly serving end users or supporting developers, it offers application scenarios such as intelligent conversations, text generation, semantic understanding, computational reasoning, and code generation/completion. It supports web search and deep thinking modes, as well as file uploads, and can scan and read text content from various files and images to provide answers.

2. How to Use DeepSeek

1. Official Platforms

Web version: chat.deepseek.com
App: Android and iOS versions are both available. Go to your phone's app store, search, and install it. Be sure to use the official app—see the image below:

Identify the official app.webp

2. Third-Party Platforms (To address the issue of busy official servers)

The DeepSeek official platform currently has heavy traffic and has even been attacked, making it quite unstable. We've put together a few third-party platforms for you. They connect to the full-version DeepSeek model, and the results are basically the same as the official one.

3. Deploying DeepSeek Locally

Benefits of local deployment: no lag and no "server busy" errors.
Local deployment has high hardware requirements. To deploy a high-performance large model—or one aligned with the official platform's offering—your computer must have a discrete graphics card with at least 128GB of RAM. Such a computer typically costs upwards of 15,000 RMB, and the full-version requirement is even higher. We don't recommend following the trend to set this up—just stick with a third-party platform to achieve the same results.

3. Basic Usage of DeepSeek

Before using it, you should know that DeepSeek is a text-based large model. It currently only supports the creation and output of textual content and does not support AI image generation. If you need AI image generation, you can use Janus-Pro, which is also from DeepSeek.

Using DeepSeek is very simple. Just click "New Chat" in the left navigation to get started.
By default, conversations use the DeepSeek-V3 model. Click "DeepThink" to switch to the DeepSeek-R1 model. To learn about the differences between the V3 and R1 models, click here.
The web search feature allows DeepSeek to query information online in real time.
You can upload documents, up to 50 at a time. After uploading, you can ask questions, such as asking it to summarize the document.
It supports uploading images, but it does not actually understand the image's content—it only performs basic OCR (text recognition) on images.

Basic usage.webp

4. DeepSeek Prompting Guide

At its core, DeepSeek is a reasoning-based large model. Unlike instruction-based models, it doesn't require users to provide detailed step-by-step instructions—instead, it provides answers by understanding the user's actual needs and context.

1. Prompt Usage Steps:

Clarify the scenario and task
Choose the model type (V3 or R1)
Write the prompt

Scenario/Task	Usage Scenarios & Tips
Reasoning Model	Information needs: When you lack professional knowledge and analytical logic, simply ask using keywords; Writing from mature material writing: Encourage divergent thinking, set a role or style, e.g., "Write an adventure story in the style of Hemingway." Also consider the model's language capabilities—at present, R1 appears strongest; Logical deduction: Directly pose complex questions, e.g., "Analyze the conflict between utilitarianism and Kantianism in the 'trolley problem.'" Plan creation: Combine logical frameworks to generate structured ideas, e.g., "Design an xxx plan" Content iteration: Design your own validation paths and check for contradictions, content, or plan iteration, e.g., "Check the logical self-consistency of the following plan." Decision reasoning: Require logical reasoning and quantitative analysis, e.g., "Between goal A and goal B, what is the optimal solution?" Mathematical proof: Ask directly, no step-by-step guidance needed, e.g., "Prove the Pythagorean theorem."
Base Model	Divergent discussion: Scenarios: breadth over depth, creative and multi-perspective; natural interaction without structured instructions, e.g., "What do you think the future of AI will look like?" Communication interaction: Requires guidance and consistent communication, relying on strong interaction and diverse communication skills rather than strict logic; Task + Identity + Purpose Weak-material generation: Requires multiple revisions, e.g., writing with little effective material; refine steps and clearly define input/output formats, e.g., "First explain the principle of quicksort, then write the code and provide examples."

Scenario/Task

Usage Scenarios & Tips

Reasoning Model

Information needs: When you lack professional knowledge and analytical logic, simply ask using keywords;
Writing from mature material writing: Encourage divergent thinking, set a role or style, e.g., "Write an adventure story in the style of Hemingway." Also consider the model's language capabilities—at present, R1 appears strongest;
Logical deduction: Directly pose complex questions, e.g., "Analyze the conflict between utilitarianism and Kantianism in the 'trolley problem.'"
Plan creation: Combine logical frameworks to generate structured ideas, e.g., "Design an xxx plan"
Content iteration: Design your own validation paths and check for contradictions, content, or plan iteration, e.g., "Check the logical self-consistency of the following plan."
Decision reasoning: Require logical reasoning and quantitative analysis, e.g., "Between goal A and goal B, what is the optimal solution?"
Mathematical proof: Ask directly, no step-by-step guidance needed, e.g., "Prove the Pythagorean theorem."

Base Model

Divergent discussion: Scenarios: breadth over depth, creative and multi-perspective; natural interaction without structured instructions, e.g., "What do you think the future of AI will look like?"
Communication interaction: Requires guidance and consistent communication, relying on strong interaction and diverse communication skills rather than strict logic; Task + Identity + Purpose
Weak-material generation: Requires multiple revisions, e.g., writing with little effective material; refine steps and clearly define input/output formats, e.g., "First explain the principle of quicksort, then write the code and provide examples."

Below is a structured tutorial for DeepSeek's prompt system, covering basic operations, advanced techniques, and real-world examples.

2. Basic Prompt Templates

(1) If you're unsure how to express what you need, you can directly apply the following prompt template:

[Role] As a ____ expert
[Task] Need to complete ____
[Requirements] Output format should be ____, including ____ elements
[Additional Info] Relevant background: ____, constraints: ____

Example:

As a nutrition consultant, I need to design a one-week meal plan for a diabetic patient.
Requirements: output in table format, including calorie counts for breakfast/lunch/dinner.
Relevant background: the patient is 65 years old
Constraints: daily total calories <1800 kcal

(2) Format Control Syntax

Enforced structure: Use ``` to wrap format requirements
Placeholder markers: use {{}} to mark content that needs to be filled in
Priority symbols: > indicates a key requirement, ! indicates a prohibited item

> Output JSON format:
{
  "plot": "{{story outline}}",
  "characters": ["{{character 1}}", "{{character 2}}"],
  "!note": "avoid violent scenes"
}

3. Advanced Techniques

(1) Chain-of-thought prompting

Step-by-step marking method: Please think step by step: 1. Problem analysis → 2. Solution design → 3. Risk assessment
Socratic questioning: Before reaching the final conclusion, please first list three possible cognitive biases

(2) Knowledge base invocation

Domain-specific instruction: Based on the 2023 edition of the Chinese Pharmacopoeia, explain the incompatibility of cephalosporin drugs
Literature citation pattern: Referencing a paper published in Nature in 2022, explain the latest breakthroughs in CRISPR-Cas9

(3) Multimodal output

# Code generation example
'''Use Python to generate a COVID-19 transmission trend animation, requirements:
1. Use matplotlib for dynamic visualization
2. Integrate WHO data from 2020-2023
3. Add an exponential growth curve for comparison'''

(4) Iterative optimization

First-round generation: obtain the basic content
Feature enhancement: please strengthen the technical detail description in the third paragraph
Style adjustment: switch to the tone of an academic conference report, and add a conclusion section
Final verification: check the consistency of the timeline, and list possible factual errors

Task type	Applicable model	Prompt focus	Example (effective prompt)	Prompt strategies to avoid
Mathematical proof	Reasoning model	Ask directly, no step-by-step guidance needed	"Prove the Pythagorean theorem"	Redundant breakdown (e.g., "first draw a diagram, then list the formula")
Mathematical proof	General model	Explicitly require step-by-step thinking, provide examples	"Please derive the Pythagorean theorem in three steps, reference: 1. Draw a right triangle..."	Asking directly (easily skips key steps)
Creative writing	Reasoning model	Encourage divergent thinking, set a role/style	"Write an adventure story in the style of Hemingway"	Over-constraining logic (e.g., "list in chronological order")
Creative writing	General model	Clearly constrained goals are needed to avoid free-form creation	"Write a short story containing 'quantum' and 'desert', no more than 200 words"	Open-ended instructions (e.g., "freely create")
Code generation	Reasoning model	Concise requirements, trust the model's logic	"Implement quicksort in Python"	Step-by-step guidance (e.g., "first write the recursive function")

4. Industry Practical Cases

(1) Technical development scenario

As a full-stack development engineer, you need to design an e-commerce system with a microservices architecture. Requirements:
1. Draw an architecture diagram (mermaid syntax)
2. List a comparison table of technology choices for each module
3. Provide a containerized deployment plan
Constraints: budget limited to 20 cloud servers, support required for tens of thousands of QPS

(2) Business analysis scenario

Act as a McKinsey analyst and conduct a market entry strategy analysis for a new energy vehicle company. Required:
1. PESTEL model framework
2. Porter's Five Forces competitive analysis
3. Data visualization (in chart form)
Focus: Southeast Asian market, time range 2024-2026

Through the basic usage tutorial and instruction guide above, you should now have a fundamental understanding of DeepSeek. Next, you can practice using more instructions and master more DeepSeek prompt techniques to fully unleash DeepSeek's potential and boost your own work efficiency.