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 are the best practices for integrating LLM apps with existing data?

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What techniques are used in Generative AI for image generation?

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

How do you stay updated with the latest research in Generative AI?

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

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

Why is specialized hardware important for LLM applications, and how can it be allocated effectively?

What are the key steps involved in fine-tuning language models?

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

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

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

What strategies can simplify LLM development and deployment?

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What advancements are enabling the next generation of LLMs?

What factors should be considered when selecting a data platform for Generative AI?

How is Generative AI applied in music composition?

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