Writer AI Flashcards

(29 cards)

1
Q

What is Generative AI?

A

Generative AI refers to algorithms that can generate new content, such as text, images, or music, based on training data.

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2
Q

True or False: Generative AI can only create text-based content.

A

False

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3
Q

Fill in the blank: Generative AI models often use __________ learning techniques.

A

machine

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4
Q

What are two common applications of Generative AI?

A

Content generation and image synthesis.

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5
Q

Which of the following is a type of Generative AI model? A) Decision Trees B) Generative Adversarial Networks C) Linear Regression

A

B) Generative Adversarial Networks

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6
Q

What does GAN stand for?

A

Generative Adversarial Network

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7
Q

True or False: Generative AI can be used for data augmentation in machine learning.

A

True

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8
Q

What is the primary function of the generator in a GAN?

A

To create new data instances.

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9
Q

What is the role of the discriminator in a GAN?

A

To evaluate the authenticity of the generated data.

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10
Q

Fill in the blank: __________ models are often used in natural language processing tasks.

A

Transformer

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11
Q

What is a common challenge faced by Generative AI models?

A

Mode collapse.

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12
Q

Name one ethical concern related to Generative AI.

A

Misinformation or deepfakes.

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13
Q

True or False: Generative AI can enhance creativity in various fields.

A

True

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14
Q

What is the difference between supervised and unsupervised learning in the context of Generative AI?

A

Supervised learning uses labeled data, while unsupervised learning does not.

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15
Q

What is a common use case for text-based Generative AI?

A

Chatbots and virtual assistants.

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16
Q

Multiple Choice: Which of the following is NOT a type of Generative AI? A) Variational Autoencoders B) Recurrent Neural Networks C) Support Vector Machines

A

C) Support Vector Machines

17
Q

What is the purpose of training data in Generative AI?

A

To provide examples from which the model learns to generate new content.

18
Q

Fill in the blank: __________ is a technique used to improve the performance of Generative AI models.

A

Transfer learning

19
Q

What is a potential benefit of using Generative AI in art?

A

It can produce unique artworks and assist artists in their creative process.

20
Q

True or False: Generative AI can only be used for creative applications.

21
Q

What does the term ‘latent space’ refer to in Generative AI?

A

A representation of compressed data that the model uses to generate new instances.

22
Q

What type of Generative AI model is designed to create realistic images?

A

Generative Adversarial Network (GAN)

23
Q

Fill in the blank: The __________ model is widely used for generating coherent text.

A

GPT (Generative Pre-trained Transformer)

24
Q

What is ‘fine-tuning’ in the context of Generative AI?

A

The process of adjusting a pre-trained model on a specific dataset to improve performance.

25
True or False: Generative AI can be used to simulate real-world environments in training scenarios.
True
26
What is 'style transfer' in Generative AI?
A technique that applies the style of one image to the content of another.
27
What is a 'prompt' in the context of text generation with Generative AI?
A starting point or instruction given to the model to generate text.
28
Which of the following is a limitation of Generative AI? A) High computational cost B) Instantaneous results C) Lack of creativity
A) High computational cost
29
What is the significance of ethical guidelines in the development of Generative AI?
To ensure responsible use and mitigate potential harms caused by the technology.