Core Prompting Techniques
Mastering fundamental prompting techniques enables you to communicate effectively with AI models and achieve consistent, high-quality outputs. These essential methods form the foundation of prompt engineering, from structuring instructions and providing examples to defining constraints and formatting responses. Explore proven strategies that transform how you interact with language models and unlock their full potential.
Chain-of-Thought Reasoning
Guide AI models to show their work through step-by-step logical thinking.
Constraint Definition and Boundaries
Set clear limits and rules to control AI behavior and output scope.
Few-Shot Learning and Examples
Teach AI models desired patterns by providing multiple demonstration examples.
Instruction Following Methods
Craft clear, actionable directives that AI models can interpret and execute accurately.
Output Format Specification
Define exact structure, style, and formatting requirements for AI-generated responses.
Role-Based Prompting
Assign specific personas or expertise roles to shape AI perspective and tone.
Zero-Shot Prompting
Achieve results without examples by leveraging AI's pre-trained knowledge and capabilities.