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Generative AI Interview Questions
Questions Answers Views Company eMail

What is Generative AI, and why is it significant in modern enterprises?

44

Can you explain the historical context of Generative AI and how it has evolved?

75

What are Large Language Models (LLMs), and how do they relate to foundation models?

59

How is Generative AI transforming the AI landscape?

45

What does "accelerating AI functions" mean, and why is it important?

46

Why is data considered crucial in AI projects?

42

How can Generative AI create value for enterprises?

47

What are pretrained models, and how do they work?

42

What are the trade-offs between security and ease of use in Gen AI applications?

42

How does a cloud data platform help in managing Gen AI projects?

41

How can LLMs be categorized?

33

What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?

46

Can you explain the key technologies and principles behind LLMs?

44

What are vector embeddings, and why are they important in LLMs?

54

What key terms and concepts should one understand when working with LLMs?

52


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Un-Answered Questions { Generative AI }

How do you approach working with incomplete or ambiguous requirements?

849


What are the ethical considerations in deploying Generative AI solutions?

30


How does masking work in Transformer models?

721


How do generative adversarial networks (GANs) work?

38


How can LLMs be categorized?

33


What is perplexity, and how does it relate to LLM performance?

60


What key terms and concepts should one understand when working with LLMs?

52


How do you handle setbacks in AI research and development?

44


How do you prepare and clean data for training a generative model?

43


What role will Generative AI play in autonomous systems?

49


What challenges arise when scaling LLMs for large-scale usage?

69


What is the role of vector embeddings in Generative AI?

36


How do you ensure compatibility between Generative AI models and other AI systems?

37


What is the importance of attention mechanisms in LLMs?

1123


What strategies can alleviate biases in LLM outputs?

613