What is LIME, and how does it aid in model interpretability?
What are some potential advantages of neuromorphic computing?
Explain how transformers work.
How do autoencoders work, and what are their applications?
How do AI-powered chatbots improve customer support in banking?
Explain the role of Edge AI in real-time decision-making.
Can you describe an example of how Quantum AI is used in chemistry for molecular simulation?
What AI trends do you find most interesting?
What are activation functions and why are they used in neural networks?
Explain the difference between supervised, unsupervised, and reinforcement learning.
What are the hardware constraints to consider when developing Edge AI applications?
How can AI be used to predict patient outcomes?
Here is a comprehensive list of over 200 job interview questions tailored to the AI-related topics you've outlined:
How would you handle imbalanced datasets?
How would you go about finding the best model for a given task?