Generative AI Literacy

Generative AI Literacy

Professional Development

8 Qs

quiz-placeholder

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Generative AI Literacy

Generative AI Literacy

Assessment

Quiz

Other

Professional Development

Easy

Created by

Julius Sambo

Used 1+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

What are some of the potential benefits of Generative AI?

Generative AI can be used to create new and innovative products and services.

Generative AI can be used to facilitate automation of repetitive tasks and shorten production time

Generative AI can be utilized to ingest and understand information quickly

Generative AI can be used for code generation

Answer explanation

Generative AI has the potential to create new and innovative products and services. It can be used to generate new designs for products, create new marketing campaigns, or even write new code. It can be used to create assistive devices, such as speech-to-text software or wheelchairs that can navigate obstacles on their own.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between Generative AI and discriminative AI?

Generative AI creates new content, while discriminative AI classifies existing content.

Generative AI is more accurate than discriminative AI.

Generative AI is more efficient than discriminative AI.

All of the above.

Answer explanation

Generative AI models are trained on a set of existing data and then use that data to create new examples. Discriminative AI models, on the other hand, are trained on a set of existing data and then used to classify new data into one of a set of categories.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the ethical considerations when using Generative AI?

Ensuring the generated content is not harmful or offensive

Making sure the AI can generate content quickly

Ensuring the AI can generate a large amount of content

Making sure the AI can generate content in multiple languages

4.

MULTIPLE SELECT QUESTION

45 sec • 1 pt


Which of the following are examples of pre-training for a large language model (LLM)? (Select 3)

Financial forecasting

Document summarization

Text classification

Question answering

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The performance of large language models (LLMs) generally improves as more data and parameters are added.

True

False

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt


You are planning a trip to Germany in a few months. You’ve booked a hotel that includes dinner. You want to email the hotel so they are aware of your food preferences. Using gen AI, you can easily generate an email in German using English prompts. Which gen AI training model enables you to do this?

Text-to-video

Text-to-image

Text-to-3D

Text-to-text

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to explain to a colleague how gen AI works. Which of the following would be a good explanation?

Gen AI learns from existing data and then creates new content that is similar to the data it was trained on.

Gen AI determines the relationship between datasets and classifies data according to existing data sets.

Gen AI uses a set of rules to generate new content that is always unique and original.

Gen AI randomly generates new content without any input from existing data.

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Prompt tuning is a technique for:

Making large language models more accurate.

Making large language models more versatile.

Training large language models.

Improving the output quality of large language models.