Self-hosted LLMs (Llama, Mistral) in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a self-hosted Llama model using the Hugging Face Transformers library.

Prompt Engineering / GenAI

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

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Allama-2-7b

Bgpt-3

Cbert-base-uncased

Dmistral-7b

Attempts:

3 left

💡 Hint

Common Mistakes

Using GPT or BERT model names instead of Llama.

The correct model name for loading a Llama model is llama-2-7b. Other options are different models or unrelated.

2fill in blank

medium

Complete the code to generate text from a loaded Mistral model using the generate method.

Prompt Engineering / GenAI

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

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Atokenizer

Binput_ids

Cmodel

D50

Attempts:

3 left

💡 Hint

Common Mistakes

Passing variables like input_ids or tokenizer instead of an integer.

The max_length parameter expects an integer specifying the maximum number of tokens to generate, such as 50.

3fill in blank

hard

Fix the error in the code to correctly tokenize input text for a self-hosted Llama model.

Prompt Engineering / GenAI

inputs = tokenizer('[1]', return_tensors='pt')

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Atokenizer

Bmodel

CHello, how are you?

Dgenerate

Attempts:

3 left

💡 Hint

Common Mistakes

Passing variable names or method names as strings instead of actual text.

The tokenizer expects a string input like a sentence. Passing the string 'Hello, how are you?' is correct.

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 or wrong comparison operators.

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

5fill in blank

hard

Fill all three blanks to create a filtered dictionary of uppercase words and their lengths for words longer than 4 characters.

Prompt Engineering / GenAI

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

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Aword.upper()

Blen(word)

Cword

Dlen

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently or wrong functions.

The dictionary uses the uppercase version of each word as key (word.upper()), the length as value (len(word)), and iterates over each word in words.