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What methods are used to make AI decisions more transparent?
What are some open problems you find interesting?
Explain how AI models predict stock market trends.
How do you integrate Generative AI models with existing enterprise systems?
What are the risks of using open-source Generative AI models?
How does XAI address regulatory compliance issues?
What are the challenges in applying AI to environmental issues?
How can federated learning be used to train AI models?
What are the biggest challenges you see in AI implementation across industries?
What is in-processing bias mitigation, and how does it work?
What are standardization and normalisation? Give one advantage of each over the other?
Do you have research experience in machine learning?
Tell me what are the last machine learning papers you've read?
How do you approach deployment of AI models?
What is Generative AI, and how does it differ from traditional AI models?
