Learn Prompting

Learn Prompting — User Guide

Learn Prompting (ZH).

Strengths
  • Completely free and maintained by the open source community
  • Supports Chinese, suitable for Chinese users
  • Start from scratch and proceed step by step
  • Practical content and focus on practical results
  • Continuous updates and active community
Best for
  • A zero-based introduction to prompt word engineering
  • Learn a variety of tips, tricks and strategies
  • Learn how to communicate effectively with different AI tools
  • Learn task-specific prompt templates
  • Understand the capabilities and limitations of AI

Basic introduction

Learn Prompting's basic modules are the best introductory material for prompt word engineering.

Scenario

The basic composition of prompt words

Prompt example
A good prompt usually contains:

1. Instruction
   Tell the AI what to do
   "Translate the following text into English"

2. Context
   Provide background information
   "This is a technical article for beginners"

3. Input Data
   What needs to be processed
   "Artificial intelligence is changing the world"

4. Output Indicator
   Specify the output format
   "Please output in JSON format"

Complete example:
"You are a professional translator.
Translate the following Chinese technical articles into English,
Maintain terminology accuracy.

Article: [Content]

Please output the translation results, no explanation is required. "
Output / what to expect

Cue words that contain all four elements,

usually results in more accurate and expected output,

Clear output format requirements are particularly important.

Tips

It is not necessary to include all elements every time, and can be flexibly adjusted according to the complexity of the task.

Scenario

Common prompt word errors

Prompt example
Common prompt word mistakes made by beginners:

1. Unclear instructions
❌ "Write something for me"
✅ "Write a 500-word product introduction for me,
    For professionals aged 25-35,
    Highlight the efficiency improvement function of the product"

2. Not providing enough context
❌ "Is this correct?"
✅ "I wrote the following Python code to calculate the Fibonacci Sequence,
    But the result is wrong, please help me find the problem: [code]"

3. Asking for too much
❌ Ask for 10 different things in one prompt
✅ Step by step, focus on one task at a time

4. Do not specify the output format
❌ "List 10 suggestions"
✅ "List 10 suggestions as a numbered list,
    No more than 20 words per suggestion"
Output / what to expect

Avoid these common mistakes,

can immediately improve the quality of AI output,

Clarity and specificity are the core principles of good prompt words.

Tips

If the AI's output is not as expected, first check whether the prompt words are clear and specific enough.

Practical Tips

Some practical tips and tricks that you can use immediately.

Scenario

Iterative optimization prompt words

Prompt example
Prompt word optimization is an iterative process:




Step 1: Write the initial prompt word


"Write a business email for me"




Step 2: Evaluate the output and identify deficiencies


- Too formal/not formal enough?


- Missing specific information?


- Wrong format?




Step 3: Improve prompt words


"Write a business email for me,


The recipient is our partner Mr. Zhang,


The topic is to confirm the meeting time for next Wednesday,


The tone should be professional but friendly,


Length should be controlled within 150 words"




Step 4: Continue iterating until you are satisfied
Output / what to expect

Prompt word optimization is a learning process.

Each iteration gives you a better understanding of how AI works,

Record valid prompt word templates for reuse.

Tips

Build your own prompt word library and record prompt words that work well in different scenarios.

Compared with similar tools

ToolStrengthBest forPricing
Learn Prompting This toolZero-based friendly, good Chinese support, free and open sourcePrompt word engineering for beginnerscompletely free
Prompt Engineering GuideMore comprehensive, covering advanced technologiesSystem deep learningcompletely free
OpenAI Prompt Engineering GuideOfficial recommendations for GPTOpenAI userscompletely free

Sources & references: