What is the primary goal of Artificial General Intelligence (AGI)?

Which of the following is a key challenge in developing explainable AI (XAI)?

What is the 'black box' problem in the context of neural networks?

Which of these techniques is commonly used for dimensionality reduction in machine learning?

What does the term 'overfitting' refer to in machine learning?

Which of the following is NOT a common activation function used in neural networks?

What is the purpose of a cost function in machine learning?

What is the difference between supervised and unsupervised learning?

Which type of AI is designed to mimic human cognitive functions such as learning and problem-solving?

Which of these is a key element in enabling computers to understand, interpret, and generate human language?