Iterative prompt refinement in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a new instruction to the prompt list.

Prompt Engineering / GenAI

prompt_steps = ['Describe the image']
prompt_steps.append([1])

Drag options to blanks, or click blank then click option'

A'Summarize the text'

B'Add more details'

C'Translate to French'

D'Generate a title'

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a step unrelated to refining the prompt.

Using a step that changes the task instead of refining.

Appending 'Add more details' adds a refinement step to the prompt.

2fill in blank

medium

Complete the code to update the prompt with the latest refinement.

Prompt Engineering / GenAI

current_prompt = 'Describe the image'
refinement = 'Add color details'
updated_prompt = current_prompt + [1] + refinement

Drag options to blanks, or click blank then click option'

A'; '

B' and then '

C' - '

D' plus '

Attempts:

3 left

💡 Hint

Common Mistakes

Using a separator that is too informal or unclear.

Not using any separator causing prompt parts to merge.

Using '; ' separates prompt parts clearly for iterative refinement.

3fill in blank

hard

Fix the error in the code that applies a refinement function to the prompt.

Prompt Engineering / GenAI

def refine_prompt(prompt):
    return prompt.lower()

prompt = 'Describe the Image'
refined = [1](prompt)

Drag options to blanks, or click blank then click option'

Arefine_prompt

BrefinePrompt

Crefineprompt

Drefine_prompt()

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect function name casing.

Not calling the function properly.

The function name is 'refine_prompt' and should be called with parentheses when passing the prompt argument.

4fill in blank

hard

Fill both blanks to create a loop that applies multiple refinements to a prompt.

Prompt Engineering / GenAI

prompt = 'Describe the scene'
refinements = ['Add lighting', 'Include objects']
for [1] in [2]:
    prompt += '; ' + [1]

Drag options to blanks, or click blank then click option'

Arefinement

Brefinements

Cstep

Dsteps

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same name for loop variable and list.

Using undefined variable names.

Loop variable 'refinement' iterates over list 'refinements' to update prompt.

5fill in blank

hard

Fill all three blanks to build a dictionary of prompt versions with their lengths.

Prompt Engineering / GenAI

prompts = ['Describe the sky', 'Add stars', 'Include moon']
prompt_lengths = { [1]: len([2]) for [3] in prompts }

Drag options to blanks, or click blank then click option'

Ap

Dprompt

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names causing errors.

Using undefined variables in the comprehension.

Using 'p' as the variable name consistently builds the dictionary correctly.

Practice

1. What is the main goal of iterative prompt refinement when working with AI models?

easy

A. To avoid changing the prompt once it is written

B. To improve the prompt step-by-step for clearer AI answers

C. To write the longest possible prompt in one try

D. To use random words to confuse the AI

Solution

1. Step 1: Understand the purpose of prompt refinement

   Iterative prompt refinement means making small changes to your prompt to get better AI responses.

2. Step 2: Identify the goal of this process

   The goal is to improve clarity and usefulness of AI answers by adjusting the prompt step-by-step.

3. Final Answer:

   To improve the prompt step-by-step for clearer AI answers -> Option B

4. Quick Check:

   Iterative refinement = step-by-step improvement [OK]

Hint: Think: How do you get better answers? By improving prompts stepwise [OK]

Common Mistakes:

• Thinking the prompt should never change
• Believing longer prompts always work best
• Assuming random words help AI understand

2. Which of the following is the correct way to start refining a prompt iteratively?

easy

A. Write a clear initial prompt and test AI response

B. Write a very long prompt with many unrelated details

C. Use only one word as a prompt

D. Never test the prompt before finalizing

Solution

1. Step 1: Identify best practice for starting prompt refinement

   Start with a clear, simple prompt to see how AI responds.

2. Step 2: Understand why testing matters

   Testing helps know what to improve next in the prompt.

3. Final Answer:

   Write a clear initial prompt and test AI response -> Option A

4. Quick Check:

   Start clear + test = best first step [OK]

Hint: Begin with clarity and test before changing [OK]

Common Mistakes:

• Starting with confusing or too long prompts
• Skipping testing before refining
• Using too few words to explain

3. Given this initial prompt: "List fruits", after iterative refinement, which prompt is likely to get a better AI answer listing only tropical fruits?

medium

A. "List fruits"

B. "List all fruits and animals"

C. "Tell me about fruits and vegetables"

D. "List tropical fruits only"

Solution

1. Step 1: Compare initial and refined prompts

   The initial prompt "List fruits" is broad and may list all fruits.

2. Step 2: Identify which prompt narrows the request

   "List tropical fruits only" clearly asks for tropical fruits, refining the request.

3. Final Answer:

   "List tropical fruits only" -> Option D

4. Quick Check:

   Specific prompt = better targeted answer [OK]

Hint: Add specific details to focus AI answers [OK]

Common Mistakes:

• Choosing too broad prompts
• Mixing unrelated topics in prompt
• Not specifying the desired subset

4. You wrote this prompt: "Explain AI" but the AI gives a very technical answer. What is the best fix using iterative prompt refinement?

medium

A. Use unrelated words like 'banana' in the prompt

B. Add more technical terms to the prompt

C. Change prompt to 'Explain AI in simple words for beginners'

D. Make the prompt shorter to just 'AI'

Solution

1. Step 1: Identify the problem with the original prompt

   Original prompt is too broad, causing a technical answer that may be hard to understand.

2. Step 2: Choose a refinement that clarifies the audience

   Adding 'in simple words for beginners' guides AI to simplify the explanation.

3. Final Answer:

   Change prompt to 'Explain AI in simple words for beginners' -> Option C

4. Quick Check:

   Clarify audience to simplify AI response [OK]

Hint: Specify audience or style to guide AI tone [OK]

Common Mistakes:

• Adding unrelated words confuses AI
• Making prompt too short loses context
• Adding more technical terms worsens complexity

5. You want the AI to generate a list of 5 healthy breakfast ideas but it keeps giving snacks. Which iterative prompt refinement will best fix this?

hard

A. "List 5 healthy breakfast ideas only, no snacks"

B. "List 5 snacks and breakfast ideas"

C. "List any 5 food items"

D. "List 5 unhealthy breakfast ideas"

Solution

1. Step 1: Identify the issue with the current AI output

   The AI includes snacks because the prompt is not specific enough to exclude them.

2. Step 2: Refine the prompt to exclude snacks and focus on healthy breakfasts

   Adding 'only, no snacks' clearly tells AI to avoid snacks and focus on breakfast ideas.

3. Final Answer:

   "List 5 healthy breakfast ideas only, no snacks" -> Option A

4. Quick Check:

   Clear exclusions improve AI focus [OK]

Hint: Use clear exclusions to avoid unwanted answers [OK]

Common Mistakes:

• Including snacks by not excluding them
• Being too vague about food types
• Requesting unhealthy options by mistake