What Generative AI actually is in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a simple generative AI model that outputs random text.

Prompt Engineering / GenAI

import random
words = ['hello', 'world', 'AI', 'generative', 'model']
output = random.[1](words)
print(output)

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

Asample

Bshuffle

Cchoice

Drandint

Attempts:

3 left

💡 Hint

Common Mistakes

Using random.shuffle() changes the list order but returns None.

random.sample() returns multiple items, not one.

The random.choice() function picks one random item from a list, which fits generating a random word.

2fill in blank

medium

Complete the code to define a function that generates a sentence by joining words.

Prompt Engineering / GenAI

def generate_sentence(words):
    return ' '.[1](words)

sentence = generate_sentence(['Generative', 'AI', 'creates', 'content'])
print(sentence)

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Ajoin

Bsplit

Creplace

Dappend

Attempts:

3 left

💡 Hint

Common Mistakes

Using split() breaks strings into lists.

append() adds items to a list, not strings.

The join() method combines a list of words into a single string separated by spaces.

3fill in blank

hard

Fix the error in the code that generates a random sequence of numbers for a generative model.

Prompt Engineering / GenAI

import random
sequence = [random.randint(0, 9) for _ in range([1])]
print(sequence)

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Arandom

B10

Crange

D'ten'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string like 'ten' causes an error.

Using range or random as a number is invalid.

The range() function needs an integer. Using 10 correctly sets the length of the sequence.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if length is greater than 3.

Prompt Engineering / GenAI

words = ['AI', 'model', 'generate', 'text']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) for values.

Using < instead of > for filtering.

The dictionary maps each word to its length using len(word), and filters words with length greater than (>) 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths if length is greater than 4.

Prompt Engineering / GenAI

words = ['data', 'science', 'AI', 'modeling']
result = { [1]: [2] for w in words if len(w) [3] 4 }
print(result)

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Aw.upper()

Blen(w)

C>

Dw.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using w.lower() instead of w.upper().

Using < instead of > for filtering.

The dictionary maps uppercase words (w.upper()) to their lengths (len(w)) only if the length is greater than (>) 4.