This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.
827Post New Generative AI Questions
What techniques are used in Generative AI for image generation?
How do you approach working with incomplete or ambiguous requirements?
How do you identify and mitigate bias in Generative AI models?
Why is specialized hardware important for LLM applications, and how can it be allocated effectively?
Describe the Transformer architecture used in modern LLMs.
Can you explain the difference between discriminative and generative models?
What is the role of vector embeddings in Generative AI?
How do you select the right model architecture for a specific Generative AI application?
What is the role of containerization and orchestration in deploying LLMs?
What are vector embeddings, and why are they important in LLMs?
How do you ensure knowledge sharing within your team?
What measures do you take to secure sensitive data during model training?
How do you ensure collaboration between data scientists and software engineers?
How does Generative AI impact e-commerce personalization?
How can governance be extended to all data types?
