How might generative AI contribute to job displacement?

By eliminating the need for software engineers

By physically replacing human workers in factories

By automating tasks that involve content creation, such as writing reports or generating images

By making all human decision-making obsolete

A marketing team uses an LLM to generate product descriptions. The outputs are too verbose and often include exaggerated claims. Which prompt modification is most likely to produce concise, factual descriptions?

Remove the product specifications and let the model use its general knowledge.

Ask the model to generate a longer description to cover all details.

Include constraints such as 'Write a 50-word description using only factual claims from the provided product specifications.'

Set the temperature to 0.0 to guarantee factual output.

What is the main goal of prompt engineering?

To craft inputs that guide the model to produce desired outputs

To replace the need for fine-tuning entirely

To reduce the model's computational requirements

To increase the model's training data size

How do large language models generate language?

By translating from a hidden universal language

By randomly selecting words from a dictionary

By predicting the next word or token given the preceding context

By retrieving pre-written sentences from a database

Which of the following is an example of a prompt engineering technique?

Using a larger GPU to speed up inference

Increasing the model's learning rate during training

Adding more layers to the neural network

Providing a few examples of the desired output format in the prompt

EC-CouncilArtificial Intelligence Essentials

Domain 3Objective 5

Generative AI and Large Language Models (LLMs) AIE Practice Questions (Page 8)

Part of the Building Blocks of AI domain, which makes up ~25% of our current practice bank.

44questions here

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Questions 36–40

36foundation · easy
How might generative AI contribute to job displacement?
Select an answer first
37application · medium
A marketing team uses an LLM to generate product descriptions. The outputs are too verbose and often include exaggerated claims. Which prompt modification is most likely to produce concise, factual descriptions?
Select an answer first
38foundation · easy
What is the main goal of prompt engineering?
Select an answer first
39foundation · easy
How do large language models generate language?
Select an answer first
40foundation · easy
Which of the following is an example of a prompt engineering technique?
Select an answer first

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