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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
What is the role of multi-agent systems in Generative AI?
What are the key steps involved in fine-tuning language models?
How do Generative AI models create synthetic data?
How do few-shot and zero-shot learning influence prompt engineering?
How do you stay updated with the latest research in Generative AI?
What key terms and concepts should one understand when working with LLMs?
Why is building a strong data foundation crucial for Generative AI initiatives?
What are the differences between encoder-only, decoder-only, and encoder-decoder architectures?
How do you train a model for generating creative content, like poetry?
How does masking work in Transformer models?
What are some techniques to improve LLM performance for specific use cases?
What is the future of Generative AI in the enterprise?
Can you explain the difference between discriminative and generative models?
Can you describe a challenging Generative AI project you worked on?
How do you prepare and clean data for training a generative model?
