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Why is it beneficial to run AI models on edge devices (IoT)?
Explain the concept of SHAP and its role in XAI.
How can you optimize AI models for edge deployment?
What are standardization and normalisation? Give one advantage of each over the other?
Tell me what are the last machine learning papers you've read?
What techniques can be used to make AI models more fair?
Is this artificial intelligence lives over the other software programs and their flexibility?
How do societal biases get reflected in AI models?
Do you have research experience in machine learning?
What frameworks can you use for ethical AI development?
How do you identify and mitigate bias in Generative AI models?
How does XAI address regulatory compliance issues?
What is prompt engineering, and why is it important for Generative AI models?
What are the challenges in applying AI to environmental issues?
How does the bias in training data affect the performance of AI models?
