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 considerations are involved in processing for inference in LLMs?

621

What steps can be taken to measure, learn from, and celebrate success in Generative AI projects?

454

How can latency be reduced in LLM-based applications?

660

Why is it essential to observe copyright laws in LLM applications?

697

How can the costs of LLM inference and deployment be calculated and optimized?

617

What are the key elements to consider when creating user interfaces for LLM applications?

662

What strategies can simplify LLM development and deployment?

672

What is Generative AI, and how does it differ from traditional AI models?

Describe the Transformer architecture used in modern LLMs.

How do you balance innovation with practical business constraints?

How do you select the right model architecture for a specific Generative AI application?

What are the key differences between GPT, BERT, and other LLMs?

How would you adapt a pre-trained model to a domain-specific task?

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

How do you ensure that your LLM generates contextually accurate and meaningful outputs?

Un-Answered Questions { Generative AI }

Can you explain the difference between discriminative and generative models?

What steps would you take to build a recommendation system with Generative AI?

1162

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

What is the future of Generative AI in the enterprise?

How do you enforce data governance in Generative AI projects?

What techniques would you use to summarize legal documents?

708

What is prompt engineering, and why is it important for Generative AI models?

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

820

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

How does learning from context enhance the performance of LLMs?

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

How do you ensure knowledge sharing within your team?

689

How can LLM hallucinations be identified and managed effectively?

560

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

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

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