Why LLMs understand and generate text in Prompt Engineering / GenAI - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a pre-trained language model using the transformers library.

Prompt Engineering / GenAI

from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained('[1]')

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

Atensorflow

Bgpt2

Csklearn

Dpytorch-lightning

Attempts:

3 left

💡 Hint

Common Mistakes

Using library names instead of model names.

Confusing framework names with model identifiers.

The correct model name to load a pre-trained language model is 'gpt2'. Other options are libraries or frameworks, not model names.

2fill in blank

medium

Complete the code to tokenize input text for the language model.

Prompt Engineering / GenAI

from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('gpt2')
inputs = tokenizer('[1]', return_tensors='pt')

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

AHello, how are you?

Bmodel

Ctokenizer

Dtransformers

Attempts:

3 left

💡 Hint

Common Mistakes

Passing model or tokenizer objects instead of text.

Passing library names as input text.

The input to the tokenizer should be the text you want the model to understand or generate from, such as a sentence.

3fill in blank

hard

Fix the error in the code to generate text from the model output.

Prompt Engineering / GenAI

outputs = model.generate(inputs['input_ids'], max_length=[1])
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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

A'max_length'

B5

C50

Dinput_ids

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a string instead of an integer.

Using too small a number limiting output length.

The max_length parameter should be an integer specifying the maximum length of generated text. 50 is a reasonable length.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths for words longer than 3 characters.

Prompt Engineering / GenAI

{word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B<=

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as value instead of length.

Using wrong comparison operator like <= instead of >.

The dictionary maps each word to its length, so the value is len(word). The condition filters words longer than 3 characters, so the operator is >.

5fill in blank

hard

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

Prompt Engineering / GenAI

{ [1]: [2] for word in words if len(word) [3] 4 }

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

Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using original word as key instead of uppercase.

Using wrong comparison operator or value.

The key is the uppercase version of the word (word.upper()), the value is the length (len(word)), and the condition filters words longer than 4 characters (>).