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Prompts

Prompts are the foundation of effective communication with Language Models. They act as templates that combine static instructions with dynamic variables, enabling consistent and customizable interactions with AI models.

Prompt Structure Example

Anatomy of a prompt template

Prompt Structure

A prompt consists of two main elements:

  • Static Text: Fixed instructions that define the context and behavior
  • Dynamic Variables: Placeholders in {curly braces} that get replaced with actual values

Example: "You are a {role} helping with {task}. Please analyze the following {input_type}: {user_input}"

Creating Effective Prompts

Best Practices

  • Be specific and clear in instructions
  • Use consistent variable naming
  • Include context and constraints
  • Define expected output format

Tip: Test your prompts with different variable values to ensure they produce consistent and reliable results across various inputs.

Common Use Cases

  • Chatbot personality definition
  • Data analysis instructions
  • Content generation templates
  • Query transformation patterns

Important: Always validate that your variables are properly escaped and sanitized before insertion into prompts.