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 }

What is the role of Generative AI in gaming and virtual environments?

How is Generative AI used in healthcare?

What are the limitations of current Generative AI models?

How does Generative AI impact e-commerce personalization?

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

How do you balance innovation with practical business constraints?

How do you incorporate user feedback into Generative AI systems?

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How is Generative AI applied in music composition?

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

What is the importance of attention mechanisms in LLMs?

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How does masking work in Transformer models?

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How will quantum computing impact Generative AI?

What is semantic caching, and how does it improve LLM app performance?

What techniques would you use to summarize legal documents?

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How can data pipelines be adapted for LLM applications?

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