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For linear regression, what are some of the assumptions a data scientist is most likely to make?
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What are some techniques for developing low-power AI models?
What are the best practices for deploying Generative AI models in production?
What are the biggest challenges you see in AI implementation across industries?
What are pretrained models, and how do they work?
Explain how AI models predict stock market trends.
Explain demographic parity and its importance in AI fairness.
What is the biggest misconception people have about AI?
How do biases in AI models amplify existing inequalities?
How do you integrate Generative AI models with existing enterprise systems?
What measures can ensure the robustness of AI systems?
Tell me what are the last machine learning papers you've read?
Explain the difference between data bias and algorithmic bias.
What are some of the major challenges facing AI research today?
How does the bias in training data affect the performance of AI models?
What frameworks can you use for ethical AI development?
