AI Quiz

Who is this Famous Enterpreneur?

• Ratan Tata

• N. R. Narayana Murthy

• Gautam Adani

• Anand Mahindra

These Famous Personalities Are Known For?

• Turing award 2018

• Turing award 2017

• Turing award 2019

• Turing Award 2020

Select the Correct Company logo?

• Telegram

• Twitter

• Tesla

• Discord

Which among the following may help to reduce overfitting demonstrated by a model

i) Change the loss function. ii) Reduce model complexity. iii) Increase the training data. iv) Increase the number of optimization routine steps.

• ii and i

• ii and iii

• i, ii, and iii

• i, ii, iii, and iv

A fair coin is flipped twice and it is known that at least one tail is observed. The probability of getting two tails is

• 1/2

• 1/3

• 2/3

• 1/4

What is the purpose of regularization in machine learning?

• To increase model complexity and improve accuracy.

• To reduce model complexity and improve generalization.

• To introduce more noise into the model and improve robustness.

• To prevent overfitting and control model complexity.

What is the purpose of cross-validation in machine learning?

• The purpose of cross-validation in machine learning is to select the best features for a model.

• The purpose of cross-validation in machine learning is to increase the training time of a model.

• The purpose of cross-validation in machine learning is to reduce the complexity of a model.

• The purpose of cross-validation in machine learning is to assess the performance and generalization ability of a model.

A decision tree classifier learned from a fixed training set achieves 100% accuracy. Which of the following models trained using the same training set will also achieve 100% accuracy? i) Logistic regressor. ii) A polynomial of degree one kernel SVM. iii) A linear discriminant function. iv) Naïve Bayes classifier.

• i

• i and ii

• all of the above

• none of the above

What is the purpose of a language model in Generative AI?

• To generate new text that is indistinguishable from human-created text.

• To automate tasks that are currently done by humans, such as writing emails or generating reports.

• To learn from a large dataset of text and use that data to generate new examples.

• To classify existing text into one of a set of categories.

What is the difference between Generative AI and discriminative AI?

• Generative AI creates new content, while discriminative AI classifies existing content.

• Generative AI is more accurate than discriminative AI.

• Generative AI is more efficient than discriminative AI.

• All of the above.