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Describe the concept of attention mechanisms in neural networks.
Compare and contrast CNNs and RNNs.
Imagine you're building a model for loan approvals. How do you make sure it doesn't discriminate?
How do you ensure that your models are fair and unbiased?
Describe different approaches to text-to-speech (TTS) synthesis?
Discuss the differences between Bayesian Networks and Markov Models.
How would you approach the design of an AI agent that is ethical by design?
What are some common NLP tasks?
What is the vanishing gradient problem in deep learning?
Explain the concept of backpropagation.
How do you deal with ambiguity in requirements when developing AI applications?
Describe different methods for model interpretability.
How can AI be used to improve weather prediction?
Describe a challenging AI project you worked on. What were the key learnings?
What is the relationship between AI and cognitive science?
