Prompt
LLM & Language ModelsThe text input you give to an AI model — your question, instruction, or creative brief that tells the AI what to do.
A prompt is your message to an AI system. It can be as simple as 'What's the weather?' or as complex as a multi-paragraph system with role definitions, constraints, formatting requirements, and examples. The quality of your prompt directly determines the quality of the AI's output.
The art of prompt writing has become a genuine skill. Effective prompts are specific (not 'write me something good' but 'write a 500-word blog intro for B2B SaaS marketers about email automation ROI'), provide context (who's the audience, what's the goal), and include constraints (tone, length, format).
Prompts work at multiple levels: user prompts (what you type), system prompts (hidden instructions from the app developer that shape the AI's behavior), and few-shot examples (showing the AI examples of desired output before asking it to generate).
Real-World Example
A prompt is an instruction, and the difference between a vague one and a specific one is usually larger than the difference between two models.
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What is Prompt?
The text input you give to an AI model — your question, instruction, or creative brief that tells the AI what to do.
How is Prompt used in practice?
A prompt is an instruction, and the difference between a vague one and a specific one is usually larger than the difference between two models.
What concepts are related to Prompt?
Key related concepts include Prompt Engineering, System Prompt, Few-Shot Learning, Token, Context Window. Understanding these together gives a more complete picture of how Prompt fits into the AI landscape.