Prompt engineering

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Now that you've completed the playlist, it's time to put your knowledge to the test...think quickly to beat the timer!,

Question 1/8

AI Terms and definitions

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What is generative AI?

What is an algorithm?

What is natural language processing (NLP)?

What is deep learning?

What is machine learning (ML)?

What is an AI chatbot?

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The process of training computers to learn from and make decisions based on data.

A field of AI that focuses on the interaction between computers and human language.

A computer program that simulates and processes human conversation, either written or spoken.

A subset of AI that uses algorithms with many layers to analyze data.

A type of artificial intelligence designed to create new content, such as texts, images, music, or videos.

A set of rules or instructions given to an AI system to help it make decisions or perform tasks.

Question 2/8

Which of these is an ethical consideration in AI prompt engineering?

The speed at which AI models respond to prompts. A
The need for generated content to be bias-free and Ensuring model diversity and avoiding biases in generated content. B
The maximizing of profits for AI development. C
The complexity of the programming language used. D
The number of training sources used E
The depth and breadth of the AI’s knowledge F

Question 3/8

Prompt engineering

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What describes the “specificity” principle of designing effective prompts?

What describes the “clarity” principle of designing effective prompts?

What describes the “brevity” principle of designing effective prompts?

What describes the “context” principle of designing effective prompts?

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Provide sufficient background information to help the AI system understand the domain, scope, or user’s intent. This can lead to more accurate and relevant results.

Keep prompts concise to improve user experience and minimize confusion.

Make sure that your prompt is precise enough to elicit the desired response without being overly restrictive or leading.

State the question or instruction plainly to reduce ambiguity and improve the likelihood of receiving the desired response.

Question 4/8

What is the Dunning-Kruger effect?

A psychological phenomenon where individuals believe they’re less capable than they actually are A
A theory that suggests people can learn new skills without any conscious effort. B
A method of teaching that focuses on enhancing the learner’s confidence rather than their skill set. C
A cognitive bias where people with low ability at a task overestimate their ability. D
A strategy for improving performance by constantly telling yourself that you’re the best at a task. E
A memory disorder where individuals forget about the skills they’ve learned. F

Question 5/8

Which advanced technique for prompt engineering involves telling the AI what you do not want to see in a response?

Prompt chaining A
Anti-patterns B
Conditional formatting C
Negative prompting D
Hypothetical scenarios E
Role-play F

Good prompt

Question 6/8

Each one is an example of either a good or a bad prompt. Swipe up or down each card in the right container:
Each one is an example of either a good or a bad prompt.

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Generate a summary of the main themes found in George Orwell’s 1984.
List some strategies to improve people’s mood at work.
Explain the difference between machine learning and deep learning in simple terms
Create a plan for a human resources initiative
Create a weekly vegetarian meal plan with ingredients that are high in protein.
Create an action plan for providing feedback
Describe the process of photosynthesis in plants
Suggest five strategies for improving memory retention based on cognitive psychology research

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Bad prompt

Question 7/8

Why is prompt engineering critical for optimizing the performance of generative AI chatbots?

It involves the physical engineering of hardware components that directly impact the efficiency of AI chatbots. A
It supports the design and construction of new buildings for AI research and development B
It involves the strategic crafting of input prompts to elicit the most accurate and relevant responses from AI chatbots. C
It enables the drafting of legal documents to ensure the ethical use of AI chatbots. D
It supports the engineering of social media prompts to increase user engagement with AI chatbots. E
It involves the engineering of network infrastructures to ensure faster data transmission to and from AI chatbots. F

Effective practices in prompt engineering

Question 8/8

Each one is either a best practice or a common mistake in prompt engineering. Swipe up or down each card in the right container:
Each one is either a best practice or a common mistake in prompt engineering.

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Using clear and specific instructions
Being vague about what you want the AI to generate
Incorporating examples to guide the AI’s output
Defining the desired output format clearly
Overloading the prompt with too many instructions
Assuming the AI has access to real-time information
Providing context to help the AI generate relevant responses
Specifying the tone or style for the generated content
Making requests that would require the AI to understand data it lacks access to

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Common mistakes in prompt engineering

Prompt engineering

0 / 8

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Let's see how much you know about Prompt engineering!

Good prompt

Generate a summary of the main themes found in George Orwell’s 1984.

List some strategies to improve people’s mood at work.

Explain the difference between machine learning and deep learning in simple terms

Create a plan for a human resources initiative

Create a weekly vegetarian meal plan with ingredients that are high in protein.

Create an action plan for providing feedback

Describe the process of photosynthesis in plants

Suggest five strategies for improving memory retention based on cognitive psychology research

Bad prompt

Effective practices in prompt engineering

Using clear and specific instructions

Being vague about what you want the AI to generate

Incorporating examples to guide the AI’s output

Defining the desired output format clearly

Overloading the prompt with too many instructions

Assuming the AI has access to real-time information

Providing context to help the AI generate relevant responses

Specifying the tone or style for the generated content

Making requests that would require the AI to understand data it lacks access to

Common mistakes in prompt engineering

Answers review