Generative AI Interview Simulator - Practice Questions with Answers and Scoring
Prepare for Generative AI interviews with a practical, hands-on experience. Solve curated questions, explore concise explanations, and track your performance with instant scoring.
Top Generative AI Interview Questions for Freshers and Experienced
45 Questions
2 Pages
Easy · Medium · Hard
Page 1 of 2
1
What is Generative AI and how is it different from traditional machine learning?
easy
basicsml
2
Explain how Large Language Models (LLMs) work at a high level.
medium
llmtransformer
3
What is a transformer architecture and why is it important?
medium
transformerarchitecture
4
What is tokenization in NLP models?
easy
tokensnlp
5
Explain the concept of embeddings in Generative AI.
medium
embeddingsvector
6
What is fine-tuning in Generative AI?
medium
finetuningtraining
7
What is prompt engineering and why is it important?
medium
promptdesign
8
Explain temperature parameter in text generation.
easy
parametersllm
9
What is top-k and top-p sampling?
hard
samplinggeneration
10
What is hallucination in Generative AI?
medium
hallucinationllm
11
How can hallucinations be reduced?
hard
hallucinationrag
12
What is Retrieval-Augmented Generation (RAG)?
medium
ragretrieval
13
Explain the role of vector databases in Generative AI.
medium
vector-dbembeddings
14
What is few-shot prompting?
medium
promptfew-shot
15
What is zero-shot learning?
medium
zero-shotlearning
16
What is the difference between fine-tuning and prompt engineering?
medium
finetuningprompt
17
How does self-attention work in transformers?
hard
attentiontransformer
18
What is positional encoding?
hard
transformerencoding
19
What are diffusion models?
hard
diffusionmodels
20
What are GANs and how do they work?
medium
ganmodels
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