What is a Prompt?
A prompt is the input you give to an LLM. The quality of your prompt directly determines the quality of the response. Prompting is both an art and a science.
Core Principles
Fundamental guidelines for effective prompts.
Be Specific
Vague prompts get vague answers. Include relevant details and constraints.
Show Examples
Demonstrate the format and style you want with concrete examples.
Provide Context
Background information helps the model understand your needs.
Specify Format
Tell the model exactly how you want the output structured.
Anatomy of a Prompt
The components that make up an effective prompt.
Role/Persona
Who the model should act as.
Task Description
What you want the model to do.
Context/Background
Relevant information for the task.
Output Format
How you want the response structured.
💬
Prompt Comparison
Compare weak vs. strong prompts
Select Example
Compare weak vs. strong prompts
Weak Prompt
Summarize this article
The article talks about various things related to the topic. It mentions some important points and has several sections covering different aspects. The author makes some arguments.
- ✗No context provided
- ✗Unclear what format is expected
- ✗No length guidance
Click to see the improved version
Key Takeaways
- 1Clear, specific prompts yield better results
- 2Examples are powerful—show, don't just tell
- 3Iterate on prompts; first attempts are rarely optimal
- 4Consider the model's perspective when crafting prompts