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Explain false negative, false positive, true negative and true positive with a simple example?
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What are Large Language Models (LLMs), and how do they relate to foundation models?
How does explainable AI (XAI) improve trust in AI systems?
How do you measure fairness in an AI model?
What is model interpretability, and why is it important?
Explain the difference between data bias and algorithmic bias.
What does "accelerating AI functions" mean, and why is it important?
What are some techniques for developing low-power AI models?
How does human feedback improve AI models?
How can preprocessing techniques reduce bias in datasets?
How do you ensure compatibility between Generative AI models and other AI systems?
What techniques can be used to make AI models more fair?
How do you identify and mitigate bias in Generative AI models?
What frameworks can you use for ethical AI development?
How do domain-specific requirements affect AI system design?
What is Generative AI, and how does it differ from traditional AI models?
