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Assertion (A): Supervised learning requires labelled data for training.
Reasoning (R): In supervised learning, the algorithm learns from input-output pairs provided in the training data,
allowing it to generalise and make predictions on new data based on the learned patterns.
Ans. a
Unsolved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. Based on the ………………………. data in discriminative modelling, the model is able to identify individual datasets.
a. Unlabelled b. New
c. labelled d. Named
2. ………………………. are unpredictable fluctuations and disarranged data which makes it impossible to identify target
patterns or relationships in it.
a. Deepfake b. Random Noise Dataset
c. Gen AI d. Discriminative Modelling
3. Which of the following is not a generative AI tool?
a. Galileo b. CodeGPT
c. Magic AI d. Vista AI
4. ………………………. are neural networks that work to produce fresh data.
a. Deepfake b. Gen AI
c. GANs d. VAE
5. What is a primary advantage of using Autoencoders?
a. Generating realistic videos b. Creating noise-free images
c. Handling sequential data d. Generating new text
6. Which generative AI tool is designed to understand text, images, audio, video, and code?
a. ChatGPT b. Runway ML
c. Gemini d. Copilot
7. What potential negative impact on society is associated with generative AI?
a. Enhanced creativity b. Job displacement
c. Increased efficiency d. Personalisation of content
8. What does a "prompt" in generative AI refer to?
a. The initial input or instruction given by the user to the AI model
b. The output generated by the AI model
c. The training dataset used by the AI model
d. The algorithm used to train the AI model
9. Which technology introduced the concept of the world's first neural network?
a. Transformers b. Perceptron
c. RNNs d. GAN
352 Touchpad Artificial Intelligence (Ver. 3.0)-IX

