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This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.
1101Post New Generative AI Questions
How do you prepare and clean data for training a generative model?
What are Large Language Models (LLMs), and how do they relate to foundation models?
What are the best practices for integrating LLM apps with existing data?
What techniques are used in Generative AI for image generation?
What is the future of Generative AI in the enterprise?
How do you enforce data governance in Generative AI projects?
How do you balance transparency and performance in Generative AI systems?
What motivates you to work in the field of Generative AI?
What factors should be considered when comparing small and large language models?
How does transfer learning play a role in training LLMs?
What is Generative AI, and how does it differ from traditional AI models?
What is the role of vector embeddings in Generative AI?
How do you prevent overfitting during fine-tuning?
Which developer tools and frameworks are most commonly used with LLMs?
Can you explain the concept of feature injection and its role in LLM workflows?
