If you're seeking accurate answers to the Introduction to Generative AI Quiz, you've come to the right place. Here, you'll find a comprehensive list of all the questions along with their corresponding answers. Google has launched a new Course for Free with the name "Generative AI Learning Path". This course provides a comprehensive exploration of Generative AI, covering all aspects in great detail. The Quiz offered within this course serves as an integral part of the Learning Module, further enhancing your understanding of the subject matter.
What is Generative AI?
Generative AI is a type of artificial intelligence that creates new content based on what it has learned from existing content. The process of learning from existing content is called training. And results in the creation of a statistical model when given a prompt, generative AI uses the model to predict what an expected response might be, and this generates new content. Essentially, it learns the underlying structure of the data.
Generative AI is used in a variety of applications, including:
- Artificial Art: Generative AI can be used to create new pieces of art, such as paintings, sculptures, and music.
- Text generation: Generative AI can be used to generate new text, such as news articles, blog posts, and marketing copy.
- Image generation: Generative AI can be used to generate new images, such as product photos, stock photos, and marketing materials.
- Video generation: Generative AI can be used to generate new videos, such as product demos, training videos, and marketing videos.
- Audio generation: Generative AI can be used to generate new audio, such as music, podcasts, and audiobooks.
Introduction to Generative AI: Quiz Questions and Answers
Q1. What are foundation models in Generative AI?
Option 1:
A foundation model is a large AI model pretrained on a vast quantity of
data that was "designed to be adapted” (or fine-tuned) to a wide range
of downstream tasks, such as sentiment analysis, image captioning, and
object recognition.
Option 2: A foundation model is a large AI model pretrained on
a vast quantity of data that was "designed to be adapted” (or fine-tuned) to
a wide range of upstream tasks, such as sentiment analysis, image
captioning, and object recognition.
Option 3: A foundation model is a small AI model pretrained on
a small quantity of data that was "designed to be adapted” (or fine-tuned)
to a wide range of downstream tasks, such as sentiment analysis, image
captioning, and object recognition.
Option 4: A foundation model is a large AI model both post and
pre-trained on a vast quantity of data that was "designed to be adapted” (or
fine-tuned) to a wide range of downstream tasks, such as sentiment analysis,
image captioning, and object recognition.
Option 5: A foundation model is a large AI model post-trained
on a vast quantity of data that was "designed to be adapted” (or fine-tuned)
to a wide range of downstream tasks, such as sentiment analysis, image
captioning, and object recognition.
The Correct Answer for Q1 is Option 1
Q2. Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect. What are some factors that can cause hallucinations? Select three options.
Option 1:
The model is not given enough context.
Option 2:
The model is not trained on enough data
Option 3: The model is trained on too much data.
Option 4:
The model is trained on noisy or dirty data.
The Correct Answer for Q2 is Option 1, Option 2, Option 4
Q3. What is a prompt?
Option 1: A prompt is a long piece of text that is given to the
large language model as input, and it cannot be used to control the output
of the model.
Option 2:
A prompt is a short piece of text that is given to the large language
model as input, and it can be used to control the output of the model
in many ways.
Option 3: A prompt is a short piece of text that is given to the
small language model (SLM) as input, and it can be used to control the
output of the model in many ways.
Option 4: A prompt is a short piece of code that is given to the
large language model as input, and it can be used to control the output of
the model in many ways.
Option 5: A prompt is a short piece of text that is given to the
large language model as input, and it can be used to control the input of
the model in many ways.
The Correct Answer for Q3 is Option 2
Q4. What is Generative AI?
Option 1: Generative AI is a type of artificial intelligence (AI)
that can only create new content, such as text, images, audio, and video
by learning from new data and then using that knowledge to predict a
discrete, supervised learning output.
Option 2: Generative AI is a type of artificial intelligence (AI)
that can create new content, such as discrete numbers, classes, and
probabilities. It does this by learning from existing data and then using
that knowledge to generate new and unique outputs.
Option 3:
Generative AI is a type of artificial intelligence (AI) that can
create new content, such as text, images, audio, and video. It does
this by learning from existing data and then using that knowledge to
generate new and unique outputs.
Option 4: Generative AI is a type of artificial intelligence (AI)
that can only create new content, such as text, images, audio, and video
by learning from new data and then using that knowledge to predict a
classification output.
The Correct Answer for Q4 is Option 3
Q5. What is an example of both a generative AI model and a discriminative AI model?
Option 1: A generative AI model does not need to be trained on a
dataset of images of cats and then used to generate new images of cats,
because the images were already generated by using AI. A discriminative AI
model could be trained on a dataset of images of cats and dogs and then
used to classify new images as either cats or dogs.
Option 2: A generative AI model could be trained on a dataset of
images of cats and then used to cluster images of cats. A discriminative
AI model could be trained on a dataset of images of cats and dogs and then
used to predict as either cats or dogs.
Option 3:
A generative AI model could be trained on a dataset of images of cats
and then used to generate new images of cats. A discriminative AI
model could be trained on a dataset of images of cats and dogs and
then used to classify new images as either cats or dogs.
Option 4: A generative AI model could be trained on a dataset of
images of cats and then used to classify new images of cats. A
discriminative AI model could be trained on a dataset of images of cats
and dogs and then used to predict new images as either cats or dogs.
The Correct Answer for Q5 is Option 3
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