How do you approach working with incomplete or ambiguous requirements?
What are the ethical considerations in deploying Generative AI solutions?
How does masking work in Transformer models?
How do generative adversarial networks (GANs) work?
How can LLMs be categorized?
What is perplexity, and how does it relate to LLM performance?
What key terms and concepts should one understand when working with LLMs?
How do you handle setbacks in AI research and development?
How do you prepare and clean data for training a generative model?
What role will Generative AI play in autonomous systems?
What challenges arise when scaling LLMs for large-scale usage?
What is the role of vector embeddings in Generative AI?
How do you ensure compatibility between Generative AI models and other AI systems?
What is the importance of attention mechanisms in LLMs?
What strategies can alleviate biases in LLM outputs?