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

Generative AI Interview Questions

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Which developer tools and frameworks are most commonly used with LLMs?

Why is data governance critical in managing LLMs?

How can governance be extended to all data types?

What steps are involved in defining the use case and scope of an LLM project?

How can one select the right LLM for a specific project?

What factors should be considered when comparing small and large language models?

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

What are prompt engineering techniques, and how can they improve LLM outputs?

How does learning from context enhance the performance of LLMs?

What is text retrieval augmentation, and why is it important?

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

Can you explain reinforcement learning and its role in improving LLMs?

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

How can data pipelines be adapted for LLM applications?

How can organizations identify business problems suitable for Generative AI?

Un-Answered Questions { Generative AI }

What are prompt engineering techniques, and how can they improve LLM outputs?

Why is building a strong data foundation crucial for Generative AI initiatives?

557

What techniques can improve inference speed for LLMs?

What are the ethical considerations in deploying Generative AI solutions?

How would you design a domain-specific chatbot using LLMs?

684

How do you ensure compliance with industry regulations in AI projects?

How do you approach learning a new AI framework or technology?

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

How can LLM hallucinations be identified and managed effectively?

543

How do you handle conflicts in an AI team?

660

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

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

419

What techniques are used for handling noisy or incomplete data?

How can LLMs be categorized?

Can you provide examples of how to structure prompts for a given use case?

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