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Why is it important to address bias in AI models?
How do societal biases get reflected in AI models?
What are standardization and normalisation? Give one advantage of each over the other?
How do you approach deployment of AI models?
How do you measure fairness in an AI model?
Explain the role of GANs (Generative Adversarial Networks) in art creation.
How can federated learning be used to train AI models?
What are Large Language Models (LLMs), and how do they relate to foundation models?
Why is data considered crucial in AI projects?
How does AI intersect with human bias and societal inequities?
How do biases in AI models amplify existing inequalities?
What are the apis outside tensorflow project?
What are the challenges in applying AI to environmental issues?
What techniques can be used to make AI models more fair?
What are the hardware constraints to consider when developing Edge AI applications?
