what is prompting
Providing input (a question, command, or instruction) to a generative AI model to get a desired output.
why prompting matters
Good prompts unlock better responses.
what is prompting Analogy
Giving directions to a highly intelligent but literal assistant.
The Core Principles of a Good Prompt
- Clarity: Use precise, simple language.
- Context: Provide background information.
- Specificity: Be detailed (e.g., ask for ‘blue moon poem’).
- Format: Define structure (e.g., list, table, paragraph).
what is a vague prompt
Too broad, AI may give a long, unfocused answer.
what is a better prompt
More focused, easier for AI to answer clearly.
what is a specific prompt
Clear role, structure, and details → AI gives a precise,
useful answer.
Advanced Techniques
1: Role-based Prompting
2: Few-Shot Prompting
3: Chain-of-Thought Prompting
4: Using Constraints
what is Role-based Prompting
*You can tell AI to “pretend” to be someone. This changes
how it answers and makes the response more useful.
what is Few-Shot Prompting
- Concept: Show the AI a few examples so it learns the style or pattern.
- Why: Helps the AI give answers in the format you want
what is Chain-of-Thought Prompting
- Concept: Break a complex problem into smaller steps, guiding the AI to reason step by step.
- Why it helps: Makes answers clearer, more accurate, and
easier to follow
what is using constraints
- Concept: Constraints are rules that guide AI responses.
differentiate the types of constraints
- Positive Constraint → Tell AI what must be included.
- Negative Constraint → Tell AI what must not be included.
- Length Constraint → Limit the number of words or sentences
Common Prompting Mistakes to Avoid
- Vague or Too Broad
- No Context
- Overloaded Prompt
- Unrealistic Expectation
