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Generative AI Objective Questions and Answers
This Generative AI quiz contains carefully curated objective questions with correct answers and clear explanations. It is designed for developers, AI engineers, and interview preparation, covering modern generative models, architectures, optimization techniques, and practical applications.
Practice Generative AI MCQs with Detailed Explanations
Answer at least 12 questions to submit and verify answers.
1 What is Generative AI primarily used for? Easy
Correct answer:
Generating new content
Generative AI creates new content such as text, images, audio, and code.
2 Which model architecture is widely used in modern LLMs? Medium
Correct answer:
Transformer
Transformers power modern LLMs due to their attention mechanisms.
3 What is the role of attention in transformers? Medium
Correct answer:
Focus on relevant parts of input
Attention allows the model to weigh important tokens more heavily.
4 What does LLM stand for? Easy
Correct answer:
Large Language Model
LLM stands for Large Language Model.
5 Which technique helps control randomness in output? Medium
Correct answer:
Temperature
Temperature controls randomness in generated outputs.
6 What is tokenization? Medium
Correct answer:
Splitting text into tokens
Tokenization breaks input into smaller units for processing.
7 Which model generates images from text? Medium
Correct answer:
All of the above
Different architectures like GANs and diffusion models generate images.
8 What is a hallucination in Generative AI? Medium
Correct answer:
Incorrect but confident output
Hallucination refers to incorrect generated content.
9 Which technique reduces hallucination? Medium
Correct answer:
Grounding with external data
Grounding improves factual accuracy.
10 What is fine-tuning? Medium
Correct answer:
Adapting a pre-trained model
Fine-tuning adapts models to specific tasks.
11 What is zero-shot learning? Medium
Correct answer:
Performing tasks without examples
Zero-shot learning performs tasks without prior examples.
12 Which improves reasoning? Medium
Correct answer:
Chain-of-thought prompting
Chain-of-thought improves reasoning capabilities.
13 What is embedding? Medium
Correct answer:
Vector representation of data
Embeddings represent data numerically.
14 Which is used for semantic search? Medium
Correct answer:
Vector similarity
Semantic search uses vector similarity.
15 What is diffusion model? High
Correct answer:
Noise-based generative model
Diffusion models generate data by denoising.