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How does AI intersect with human bias and societal inequities?
What are pretrained models, and how do they work?
Explain the risks of adversarial attacks on AI models.
What is Generative AI, and how does it differ from traditional AI models?
What are the benefits and risks of using AI in financial risk analysis?
How do low-power AI models work in constrained environments?
What is your understanding of the different types of cloud-based machine learning services?
Explain demographic parity and its importance in AI fairness.
How does human feedback improve AI models?
What are the apis outside tensorflow project?
What are standardization and normalisation? Give one advantage of each over the other?
How do you integrate Generative AI models with existing enterprise systems?
What are the hardware constraints to consider when developing Edge AI applications?
How do Generative AI models create synthetic data?
Why is it beneficial to run AI models on edge devices (IoT)?
