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WorksheetsGenerative AI
Total questions: 20
Worksheet time: 10mins
What is Machine Learning (ML)?
A branch of AI focused on building systems that learn from data
A method for programming computers to solve complex problems
A technology that allows machines to mimic human actions
A framework for designing neural networks
What is Deep Learning (DL)?
A subset of machine learning involving neural networks with multiple layers
A method for processing big data in real-time
A type of machine learning focused on natural language processing
A machine learning technique that requires little data
What is Generative AI (GenAI)?
Explain the concept of 'AI ethics' and why it is important in the field of technology.
AI ethics only applies to certain industries, not technology as a whole
AI ethics is irrelevant in technology as long as the end goal is achieved
AI ethics is crucial in technology to ensure fairness, transparency, and respect for human values in the development and use of artificial intelligence.
AI ethics is a hindrance to technological progress and innovation
What type of content has generative AI had the biggest impact on so far?
Text generation
Image generation
Audio generation
Video generation
Which of the following is NOT a characteristic of Artificial Intelligence?
What can generative AI misuse lead to?
Reduction in data usage
Improved AI behavior
Faster internet speeds
Deepfakes
What are some tools or frameworks for prompt engineering?
GPT-3 Playground, OpenAI Codex, or DALL-E
PromptKit, PromptStudio, or PromptCraft
Hugging Face Transformers, PyTorch Lightning, or TensorFlow
All of the above
Who is he ?
Which model is known for generating human-like text?
CNN
RNN
GPT
SVM
What does GPT stand for in the context of Generative AI?
General Purpose Transformer
Generative Pre-trained Transformer
General Pre-trained Transformer
Generative Purpose Transformer
What is prompt engineering?
The process of developing and deploying generative AI models
The process of evaluating and improving generative AI models
The process of designing and testing prompts for generative AI models
The process of training and fine-tuning generative AI models
What is "zero-shot learning" in the context of Generative AI?
Training a model without any data
The ability to perform tasks without prior training on specific examples
Fine-tuning a model with minimal data
Generating data from scratch
What is "few-shot learning" in the context of Generative AI?
Training a model with a large amount of data
The ability to learn from a few examples
Generating data with minimal supervision
Fine-tuning a model with extensive data
Which of the following is an example of a Generative AI model for image generation?
BERT
GPT-3
DALL-E
GPT-5
Which of the following is a popular dataset used for training language models?
ImageNet
COCO
Wikipedia
CIFAR-10
What is a transformer in the context of AI?
A transformer is a neural network architecture that uses self-attention mechanisms to process sequential data.
A transformer is a type of physical device used for electrical energy conversion.
A transformer is a programming language used for AI development.
A transformer is a data storage system for large datasets.
Explain the concept of self-attention in transformers.
Self-attention is a method for translating text into images.
Self-attention is a technique used only in convolutional neural networks.
Self-attention refers to the process of ignoring all other words in a sequence.
Self-attention is a mechanism in transformers that allows the model to weigh the importance of different words in a sequence based on their relationships.
Which of the following is a common challenge in training large-scale language models?
Overfitting on small datasets
Managing long-range dependencies
High computational cost
Limited training data
What is mentioned as the potential of language models in the lecture?
Decreased accuracy
Minimal impact
Revolutionizing industries
Limited applications
