Q1. What is the primary goal of Generative AI?
(a) To classify and label data
(b) To analyze existing data
(c) To generate new content similar to human-made data
(d) To create databases
Ans: (c)
Generative AI creates new data resembling human-generated content like text, images, and music.
Q2. Which of the following is NOT an application of Generative AI?
(a) Text generation
(b) Image classification
(c) Music composition
(d) Video synthesis
Ans: (b)
Image classification is typically a task for conventional AI, not generative AI, which focuses on creating new content.
Q3. In which type of learning does the model work with unlabeled data to find patterns on its own?
(a) Supervised Learning
(b) Reinforcement Learning
(c) Generative Learning
(d) Unsupervised Learning
Ans: (d)
Unsupervised learning involves the model discovering patterns without human-provided labels.
Q4. Which tool allows users to generate images from text prompts?
(a) ChatGPT
(b) GAN Paint
(c) Artbreeder
(d) Google Gemini
Ans: (c)
Artbreeder enables users to generate and modify images using text and sliders.
Q5. What is a major ethical risk associated with Generative AI?
(a) Reduced storage space
(b) Increased computing speed
(c) Generation of fake content like deepfakes
(d) Lack of mobile support
Ans: (c)
One key ethical issue is the creation of fake media, which can spread misinformation and harm public trust.
Q6. Which of the following is a text-based Generative AI tool?
(a) Runway ML
(b) Artbreeder
(c) ChatGPT
(d) GAN Paint
Ans: (c)
ChatGPT generates human-like text and is a popular example of a text-based generative AI tool.
Q7. How is Generative AI different from Conventional AI in terms of output?
(a) Generative AI output is always factual.
(b) Generative AI provides predictable results.
(c) Generative AI produces creative and novel content.
(d) There is no difference.
Ans: (c)
Generative AI creates unexpected, innovative content, while conventional AI outputs are based on predefined rules or patterns.
Q8. Which of the following is a correct match?
(a) AIVA – Image generation
(b) Runway ML – GAN and VAE-based modeling
(c) GAN Paint – Text summarization
(d) ChatGPT – Image enhancement
Ans: (b)
Runway ML allows users to create generative models like GANs and VAEs for image and video generation.
Q9. What is a responsible practice when using Generative AI?
(a) Ignoring the dataset origin
(b) Publishing all generated outputs without review
(c) Ensuring diverse and representative training data
(d) Using only one dataset for all outputs
Ans: (c)
Responsible use includes using diverse datasets to avoid bias and ensure fairness in generated content.
Q10. Which of the following fields can benefit from Generative AI?
(a) Music
(b) Architecture
(c) Fashion design
(d) All of the above
Ans: (d)
Generative AI has applications across many creative fields like music, architecture, and fashion.
32 videos|61 docs
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1. What is Generative AI and how does it differ from traditional AI? | ![]() |
2. What are some common applications of Generative AI? | ![]() |
3. What ethical considerations arise from the use of Generative AI? | ![]() |
4. How does Generative AI learn from data? | ![]() |
5. What are some challenges associated with Generative AI? | ![]() |