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?

631

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

470

How can latency be reduced in LLM-based applications?

672

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

711

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

619

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

678

What strategies can simplify LLM development and deployment?

685

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 }

How does learning from context enhance the performance of LLMs?

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

What are the privacy implications of using large datasets for Generative AI?

How is Generative AI transforming the AI landscape?

Describe the Transformer architecture used in modern LLMs.

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

619

What strategies can be used to adapt LLMs to a specific use case?

What are some best practices for crafting effective prompts?

How can organizations create a culture of collaboration around Generative AI projects?

472

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

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

How will quantum computing impact Generative AI?

How does multimodal AI enhance Generative AI applications?

How do you decide whether to fine-tune or train a model from scratch?

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

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