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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?

32

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

55

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

49

How is Generative AI transforming the AI landscape?

32

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

35

Why is data considered crucial in AI projects?

30

How can Generative AI create value for enterprises?

33

What are pretrained models, and how do they work?

28

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

32

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

31

How can LLMs be categorized?

25

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

37

Can you explain the key technologies and principles behind LLMs?

36

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

36

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

40


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Un-Answered Questions { Generative AI }

What considerations are involved in processing for inference in LLMs?

621


How do you approach working with incomplete or ambiguous requirements?

833


How do AI agents function in orchestration, and why are they significant for LLM apps?

27


How do Generative AI models create synthetic data?

32


What are the advantages of combining retrieval-based and generative models?

31


What advancements are enabling the next generation of LLMs?

28


What are the challenges of working on cross-functional AI teams?

28


Which developer tools and frameworks are most commonly used with LLMs?

32


How do you measure diversity and coherence in text generated by LLMs?

33


Can you explain the key technologies and principles behind LLMs?

36


How can one select the right LLM for a specific project?

38


How can latency be reduced in LLM-based applications?

660


How do you balance transparency and performance in Generative AI systems?

38


What are the benefits and challenges of fine-tuning a pre-trained model?

31


What are some techniques to improve LLM performance for specific use cases?

32