Generative AI Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Generative AI Interview Questions

Questions Answers Views Company eMail

What are some real-world applications of Generative AI?

What metrics do you use to evaluate the performance of a fine-tuned model?

What are the best practices for deploying Generative AI models in production?

How do you optimize LLMs for low-latency applications?

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

How do you integrate Generative AI models with existing enterprise systems?

What is the role of containerization and orchestration in deploying LLMs?

What metrics are used to evaluate the quality of generative outputs?

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

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

How do you evaluate the impact of model updates on downstream applications?

How do foundation models support Generative AI systems?

What techniques can improve inference speed for LLMs?

How do you identify and mitigate bias in Generative AI models?

What is hallucination in LLMs, and how can it be controlled?

Un-Answered Questions { Generative AI }

Can you explain the concept of feature injection and its role in LLM workflows?

642

What is the role of multi-agent systems in Generative AI?

Explain the concepts of pretraining and fine-tuning in LLMs.

How will quantum computing impact Generative AI?

What is the importance of attention mechanisms in LLMs?

1125

What is a vector database, and how is it used in LLM applications?

What considerations are involved in processing for inference in LLMs?

631

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

What is reinforcement learning with human feedback (RLHF), and how is it applied?

What motivates you to work in the field of Generative AI?

840

How does transfer learning play a role in training LLMs?

What is a Large Language Model (LLM), and how does it work?

What are the limitations of current Generative AI models?

How can Generative AI be used for text summarization?

Why is data governance critical in managing LLMs?

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