Assessment| Actual Questions and Answers Latest Updated
(Graded A+)
Correct
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1 of 132
Term
What is confirmation bias in AI decision-making?
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A method where AI generates A bias where a person
responses without seeing relevant emphasizes data that supports
training examples in the prompt. their belief
No, AI can still generate biased or
It should be specific, relevant to the
incorrect outputs based on its
goal, and ask a clear question.
training data.
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2 of 132
,Term
What is zero-shot prompting in AI?
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AI does not actually do any independent reasoning, it just does a massive amount
of data processing in order to produce results that may seem like it is reasoning
about something,
A method where AI generates responses without seeing relevant training
examples in the prompt.
A technique where prompts start simple and gradually increase in complexity to
refine AI responses.
They allow users to specify parameters or constraints to control outputs.
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3 of 132
Term
A person is preparing to cook dinner for a group of friends. One of the
friends has a gluten allergy, and the style of the dinner should be
Italian. The person crafts the prompt, "Give me ideas for dinner
recipes."What is one of the changes that should be made to refine the
,prompt?
Specify the number of people invited
Give details about the time and date
Give the age of each person attending
Indicate that the food should be gluten-free
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Indicate that the food should be
The prompt lacks specificity.
gluten-free
Indicate the purpose of creating the
Imprecise results
picture
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4 of 132
Term
A person wants to use a large language model to help them write a
vacation rental property description.Which benefit comes with writing
an effective prompt?
A response that is proven to be effective
Reduced need for clarifying exchanges
Description customization for each reader
Improved interface for user-model interactions
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, Reduced need for clarifying
Imprecise results
exchanges
Indicate the purpose of creating the
The prompt lacks specificity.
picture
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Term
What is "Least to Most" prompting in AI?
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A subset of machine learning that A technique where prompts
uses neural networks to process start simple and gradually
complex data and extract patterns increase in complexity to refine
automatically. AI responses.
They allow users to specify
It can lead to inaccurate or skewed
parameters or constraints to control
results in the AI's performance.
outputs.
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6 of 132