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This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.
1095Post New Generative AI Questions
What are the risks of using open-source LLMs, and how can they be mitigated?
How do you handle setbacks in AI research and development?
How do you approach working with incomplete or ambiguous requirements?
How is Generative AI used in healthcare?
What is the role of containerization and orchestration in deploying LLMs?
What steps would you take to build a recommendation system with Generative AI?
How does learning from context enhance the performance of LLMs?
How do you stay updated with the latest research in Generative AI?
What are the trade-offs between security and ease of use in Gen AI applications?
What is prompt engineering, and why is it important for Generative AI models?
What is reinforcement learning with human feedback (RLHF), and how is it applied?
What are some best practices for crafting effective prompts?
What are the challenges of using large datasets in LLM training?
How do you approach learning a new AI framework or technology?
How do you prevent overfitting during fine-tuning?
