Why Generative AI is transforming technology in Prompt Engineering / GenAI - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to generate text using a simple generative AI model.

Prompt Engineering / GenAI

generated_text = model.[1](input_prompt)

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

Agenerate

Bpredict

Cclassify

Dtrain

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'predict' instead of 'generate' because prediction is for classification tasks.

Using 'train' which is for model learning, not generating output.

The generate method is used to create new text based on the input prompt in generative AI models.

2fill in blank

medium

Complete the code to load a pretrained generative AI model.

Prompt Engineering / GenAI

model = GenerativeModel.[1]('pretrained-model-name')

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

Atrain

Bcompile

Csave

Dfrom_pretrained

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'train' which starts training instead of loading.

Using 'save' which stores the model, not loads it.

The from_pretrained method loads a model that is already trained and ready to generate content.

3fill in blank

hard

Fix the error in the code to generate text with a maximum length.

Prompt Engineering / GenAI

output = model.generate(input_ids, max_length=[1])

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

Amaxlen

Bmax_length

C'max_len'

Dlength_max

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect parameter names like 'max_len' or 'maxlen' which cause errors.

The correct parameter name is max_length to specify the maximum length of generated text.

4fill in blank

hard

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

Prompt Engineering / GenAI

word_counts = [1]((word, text.split().count(word)) for word in [2](text.split()))

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Adict

Blist

Cset

Dtuple

Attempts:

3 left

💡 Hint

Common Mistakes

Using list instead of dict causes a list of tuples, not a dictionary.

Using list instead of set for unique words causes repeated counts.

We use dict to create a dictionary and set to get unique words for counting.

5fill in blank

hard

Fill all three blanks to filter generated sentences longer than 5 words and create a list of their lengths.

Prompt Engineering / GenAI

filtered_lengths = [len(sentence.split()) for sentence in sentences if len(sentence.split()) [1] [2] if len(sentence.split()) [3] 5]

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

A>

B5

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' or '==' which filter wrong sentences.

Mixing operators causing syntax errors.

The code filters sentences where the word count is greater than 5 and collects their lengths.