Why text generation solves real problems in Prompt Engineering / GenAI - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to generate a simple text output using a language model.

Prompt Engineering / GenAI

output = model.generate([1])

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

Arandom_seed

Bmax_length

Cinput_text

Dtemperature

Attempts:

3 left

💡 Hint

Common Mistakes

Using parameters like max_length or temperature instead of input text.

The generate function needs the input text to start generating related text.

2fill in blank

medium

Complete the code to limit the length of generated text.

Prompt Engineering / GenAI

output = model.generate(input_text, [1]=50)

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

Amax_length

Btemperature

Ctop_k

Dnum_return_sequences

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing max_length with temperature or top_k.

The max_length parameter controls how many tokens the model generates.

3fill in blank

hard

Fix the error in the code to generate text with controlled randomness.

Prompt Engineering / GenAI

output = model.generate(input_text, max_length=50, [1]=0.7)

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

Amax_length

Bnum_beams

Ctop_p

Dtemperature

Attempts:

3 left

💡 Hint

Common Mistakes

Using max_length again or confusing with top_p.

The temperature parameter controls randomness in text generation; setting it to 0.7 adds some creativity.

4fill in blank

hard

Fill both blanks to create a dictionary of word counts from generated text.

Prompt Engineering / GenAI

word_counts = {word: [1] for word in output.split() if len(word) [2] 3}

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) or wrong comparison operator.

We count the length of each word and keep only words longer than 3 characters.

5fill in blank

hard

Fill all three blanks to filter and transform generated sentences.

Prompt Engineering / GenAI

filtered = [sentence.[1]() for sentence in output.split('.') if 'AI' [2] sentence and len(sentence) [3] 20]

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

Astrip

Bin

C<

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using lower() instead of strip(), or wrong comparison operators.

We remove spaces with strip(), check if 'AI' is in the sentence, and keep sentences shorter than 20 characters.