what is a "negative prompt" in the context of text-to-image diffusion models?

b) A prompt that tells what to exclude in the image.

What is generally considered the core goal of Artificial Intelligence (AI)?

b) create machines, tasks typically require human intelligence.

Which of the following is a key challenge in ensuring ethical AI development and deployment?

b)The challenge of putting ethics into algorithms.

which of the following is a crucial aspect of effective prompt engineering for text-to-image models?

c) Giving clear details about subject, style, and composition.

What is a significant ethical concern related to the use of Large Language Models (LLMs)?

b) Risk of creating and spreading misinformation or bias.4.1-mini

What is generally considered the core goal of AI? which of the following is a key characteristic of diffusion model

b) Adding noise step-by-step to an image and learning to undo it.

Which of the following is a potential application of Artificial Intelligence in healthcare?

c) Providing personalized medicine and drug discovery.

What is the main objective of the discriminator in a Generative Adversarial Network (GAN)?

b) To distinguish between real and generated images.

What is a common pooling operation used in Convolutional Neural Networks (CNNs)?

c) Max pooling or average pooling.

What does "few-shot learning" in the context of Large Language Models (LLMs) refer to?

c) Generating a few words or sentences at a time using a model.

Which of the following is a common application of Convolutional Neural Networks (CNNs)?

c) Image classification and object detection.

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GEN - AI (QUIZ)

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Answers

1
what is a "negative prompt" in the context of text-to-image diffusion models?
c) A prompt that contains negative sentiment about the subject matter
d) A prompt that results in a completely black or empty image.
a) A prompt that describes what you do want in the image
b) A prompt that tells what to exclude in the image.
2
What is generally considered the core goal of Artificial Intelligence (AI)?
c) To replace all human jobs with automated systems
a) To perfectly mimic human emotions.
b) create machines, tasks typically require human intelligence.
d) Understand the biological workings of human brain.
3
Which of the following is a key challenge in ensuring ethical AI development and deployment?
d) The lack of interest from the public in AI technologies
c)Hard to code ethics into algorithms.
a) The increasing speed of AI model training
b)The challenge of putting ethics into algorithms.
4
which of the following is a crucial aspect of effective prompt engineering for text-to-image models?
c) Giving clear details about subject, style, and composition.
a) Using very short and ambiguous prompts.
b) Avoiding specific details about the desired image style and content.
d) Relying solely on negative prompts to guide the generation.
5
What is a significant ethical concern related to the use of Large Language Models (LLMs)?
d) Their reliance on large datasets for training.
b) Risk of creating and spreading misinformation or bias.4.1-mini
a) Their inability to perform complex mathematical
c) Their high computational cost and energy consumption.
6
What is generally considered the core goal of AI? which of the following is a key characteristic of diffusion model
c) Turning text into codes and decoding them into images.
a) Generating images directly from text in a single step.
d) Using training to turn text into realistic images.
b) Adding noise step-by-step to an image and learning to undo it.
7
Which of the following is a potential application of Artificial Intelligence in healthcare?
c) Providing personalized medicine and drug discovery.
b) Managing patient appointments manually.
d) Cleaning and sanitizing hospital rooms.
a) Building physical infrastructure like hospitals.
8
What is the main objective of the discriminator in a Generative Adversarial Network (GAN)?
b) To distinguish between real and generated images.
a) To generate realistic synthetic images.
c) To map text descriptions to image features.
d) To denoise corrupted images.
9
What is a common pooling operation used in Convolutional Neural Networks (CNNs)?
d) Activation function application.
b) Transposed convolution
c) Max pooling or average pooling.
a) Element-wise multiplication.
10
What does "few-shot learning" in the context of Large Language Models (LLMs) refer to?
adjusting a pre-trained model for a specific task.
c) Generating a few words or sentences at a time using a model.
a) Training a model on a very small dataset from scratch.
d) Compressing a large language model into a smaller size.
11
Which ethical principle emphasizes the importance of ensuring that AI systems unfairly against individuals or groups?
b) Accountability
c) Fairness
a) Transparency
d)privacy
12
Which of the following is a common category or type of Artificial Intelligence?
c) Machine Learning
d) Quantum Computing
a) Natural Stupidity
b) Augmented Reality
13
What is a common technique used in Natural Language Processing (NLP) to handle sequences of varying lengths in LLMs?
d) Fully connected layers applied independently to each element
c)RNNs or Transformers with attention.
b) Pooling layers.
a) Convolutional layers.
14
Which of the following is a common application of Convolutional Neural Networks (CNNs)?
d) Generating realistic synthetic data.
b) Time series forecasting.
c) Image classification and object detection.
a) Natural language translation.
15
Which layer helps CNNs to extract spatial hierarchiesextract features from images?
d) Transformer layer
b) Fully connected layer
a) Recurrent layer
c) Convolutional layer

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