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

How do you design prompts for generating specific outputs?

What are some best practices for crafting effective prompts?

How do few-shot and zero-shot learning influence prompt engineering?

Can you explain the difference between discriminative and generative models?

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

Why is data quality critical in Generative AI projects?

How do you prepare and clean data for training a generative model?

What techniques are used for handling noisy or incomplete data?

Explain the importance of tokenization in LLMs.

What is the role of vector embeddings in Generative AI?

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

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

What is reinforcement learning with human feedback (RLHF), and how is it applied?

How do you prevent overfitting during fine-tuning?

Un-Answered Questions { Generative AI }

What are the key steps in building a chatbot using LLMs?

How can Generative AI be used for text summarization?

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

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

What are the applications of Generative AI in finance?

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

How do you prepare and clean data for training a generative model?

How do you identify and mitigate bias in Generative AI models?

What techniques are used in Generative AI for image generation?

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

468

How do generative adversarial networks (GANs) work?

How do you manage context across multiple turns in conversational AI?

What is the role of vector embeddings in Generative AI?

Explain the importance of tokenization in LLMs.

How can LLMs be categorized?

For More Un-Answered { Generative AI } Questions Click Here