The Prompt Engineer’s Handbook: The art of crafting effective conservation with GenAI
Embark on a journey to master prompt engineering with this essential handbook to get the best out of your GenAI assistant.
Discover powerful techniques to harness the true capabilities of ChatGPT, Gemini, Claude, Llama and other GenAI models for personal or official work.
This guide provides valuable insights and practical examples for both beginners and experienced prompt engineers.
| PROMPT ENGINEERING TECHNIQUE/PATTERN | REFERENCE LINK ( DESCRIPTION, TEMPALTE, EXAMPLE) |
|---|---|
| I. Guiding AI Behavior & Output | |
| 1. Persona Prompt: Sets the AI’s personality or role. | Persona Prompt – I Persona Prompt – II Persona Prompt – III |
| 2. Audience Prompt: Tailors the AI’s response to a specific target group. | Audience Prompt Persona + Audience Prompt Fusion |
| 3. Think Step by Step: Encourages the AI to break down complex tasks into smaller, manageable steps for better reasoning and output clarity. | Think Step by Step Prompting |
| 4. Chain of Thoughts: Prompts the model to generate a series of interconnected thoughts or reasoning steps before arriving at a final answer. | Chain of Though Prompting |
| 5. Semantic Filter Pattern: Helps the AI identify and filter out irrelevant or inappropriate content. | Semantic Filter Pattern |
| 6. Outline Expansion: Guides the AI to elaborate on a provided outline, ensuring a structured and comprehensive response. | Idea Expansion |
| 7. Refusal Breaker Pattern: Instructs the AI on how to politely decline inappropriate or harmful requests and suggest alternative way to ask the same question. | Refusal Breaker Pattern |
| II. Enhancing User Interaction | |
| 8. Cognitive Verifier Prompt: Encourages the AI to double-check its responses for accuracy and consistency. | Cognitive Verifier Prompt – Basics Cognitive Verifier Prompt – Advanced |
| 9. Few Shot Prompt: Provides examples to demonstrate the desired response format or style. | Few Shot Prompting |
| 10. Flipped Interaction: Reverses the typical user-AI roles for specific tasks or creative output. | Idea Expansion |
| 11. Receipt Pattern: Acknowledges the user’s input and confirms understanding before proceeding. | Idea Expansion |
| 12. Question Refinement Pattern: Guides the AI to seek clarification or additional details for better understanding user queries. | Question Refinement Pattern |
| 13. Alternative Approach Pattern: Prompts the AI to suggest different solutions or perspectives. | Alternative Approach Pattern |
| 14. ReAct: Encourages the AI to consider both reasoning and action when generating responses. | ReAct Pattern |
| 15. Reflection Pattern: Prompts the AI to analyze its own performance or responses, fostering self-improvement and learning. | Reflection Pattern |
| III. Ensuring Accuracy & Safety | |
| 16. Fact Check Pattern: Instructs the AI to verify information before including it in a response. | Avoid Hallucination |
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Prompt Engineering, The art of crafting effective conversation with GenAI – Nicely structured, easy to follow through. Well done.