ChatGPT prompting is the practice of giving clear, structured instructions to guide the AI in generating accurate and useful responses. The quality of the output largely depends on how well the prompt is written.

Prompt Engineering

Crafting well-structured instructions to guide AI models in producing accurate, relevant, and high-quality responses.

 

Context & Constraint-Based Prompting

Giving the AI extra background information (context) to respond more accurately and relevantly

 

Role-Based Prompting

Telling the AI “Act as [a role],” you influence its tone, depth, and style of response.

 

Zero-Shot vs. Few-Shot Prompting

Providing examples for better context

 

Chain-of-Thought (CoT) Prompting

Encourages AI to break down complex reasoning step by step.

 

Tree-of-Thought (ToT) Prompting

Encourages AI to explore multiple paths before selecting the best answer.

 

Self-Consistency Prompting

Runs multiple outputs and selects the most reliable one.

 

ReAct (Reason + Act) Prompting

 Instructs AI to reason, take action, then verify before giving the final answer.