
Artificial Intelligence and Machine Learning Quiz
Quiz
•
Computers
•
3rd Grade
•
Practice Problem
•
Medium
Hitesh Motwani
Used 1+ times
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6 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between Generative AI models and Discriminative AI models?
Generative models create new data, while discriminative models classify existing data.
Generative models are used for image generation, while discriminative models are used for image analysis.
Generative models require labeled data, while discriminative models do not.
Generative models are always unsupervised, while discriminative models are always supervised.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which usecase was the transformer initially built for?
Machine translation of textual documents between languages.
Summarization of long text passages into concise summaries.
Text generation and creative writing tasks.
Speech recognition and conversion of spoken words into text.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an RNN?
A type of neural network that processes information in chronological order, using its memory to learn from previous inputs.
Used for scenario building
A method for compressing large amounts of data into smaller representations.
A machine learning algorithm used for sentiment analysis of text data.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which research paper revolutionized the LLMs?
Attention Is All You Need by Vaswani et al. (2017)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Devlin et al. (2019)
Generative Adversarial Networks by Goodfellow et al. (2014)
Long Short-Term Memory Networks by Hochreiter & Schmidhuber (1997)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is LSTM?
A type of recurrent neural network (RNN) designed to handle long-term dependencies in sequence data.
A convolutional neural network (CNN) for image classification, known for its spatial invariance.
A machine learning algorithm for clustering similar data points based on unsupervised learning.
A method for optimizing neural networks by adjusting weights based on errors in the output.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which model is used in GPT
Transformer
ChatGPT
RNN
CNN
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