| What is Artificial Intelligence? |
| What are the different types of AI (Weak, Strong, General, Narrow)? |
| Define the Turing Test. Why is it important? |
| Explain the difference between AI, ML, and Deep Learning. |
| What are the key components of an intelligent system? |
| What is the difference between supervised, unsupervised, and reinforcement learning? |
| What are the main goals of AI? |
| What are intelligent agents in AI? |
| What are the characteristics of an intelligent agent? |
| What is the difference between deterministic and stochastic environments? |
| What is a state space in AI? |
| Explain BFS and DFS with examples. |
| What is heuristic search? Give examples. |
| What is A* algorithm and how does it work? |
| What is the difference between informed and uninformed search? |
| What is the hill-climbing algorithm? |
| What is adversarial search? |
| How does Minimax algorithm work? |
| What is alpha-beta pruning? |
| What is the role of constraint satisfaction in AI? |
| What is knowledge representation? |
| What are the types of knowledge in AI? |
| What is propositional logic? |
| What is first-order logic? |
| What is semantic network? |
| What is an ontology in AI? |
| What is fuzzy logic and how is it used? |
| What is a knowledge base? |
| How does forward chaining differ from backward chaining? |
| What is non-monotonic reasoning? |
| What is the difference between classification and regression? |
| What is overfitting and underfitting? |
| What is cross-validation? |
| Explain bias-variance trade-off. |
| What is a confusion matrix? |
| What is entropy in decision trees? |
| What is the role of cost function? |
| What is gradient descent? |
| What are the different types of distance metrics? |
| What is feature selection and dimensionality reduction? |
| What is planning in AI? |
| What is STRIPS in planning? |
| What is reinforcement learning? Give examples. |
| Explain Q-learning. |
| What is the Markov Decision Process (MDP)? |
| What is temporal difference learning? |
| What is policy vs value function in reinforcement learning? |
| What is model-free vs model-based RL? |
| Explain exploration vs exploitation dilemma. |
| What are eligibility traces? |
| What is NLP? |
| What is tokenization in NLP? |
| What is stemming vs lemmatization? |
| What is Part-of-Speech (POS) tagging? |
| What are n-grams? |
| What is Named Entity Recognition (NER)? |
| What is the bag-of-words model? |
| What is TF-IDF? |
| What is sentiment analysis? |
| What is language modeling? |
| What is a perceptron? |
| What is the difference between a single-layer and multi-layer perceptron? |
| What is backpropagation? |
| What is an activation function? Name a few. |
| What are convolutional neural networks (CNNs)? |
| What are recurrent neural networks (RNNs)? |
| What is the vanishing gradient problem? |
| What is dropout in neural networks? |
| What is batch normalization? |
| What are hyperparameters in neural networks? |
| What is the role of AI in robotics? |
| What are sensors and effectors in robotics? |
| What is SLAM (Simultaneous Localization and Mapping)? |
| What is path planning in robotics? |
| What is computer vision and how does it relate to AI? |
| What are the ethical concerns in AI? |
| What is explainable AI (XAI)? |
| What is AI bias and how can it be mitigated? |
| What is AGI (Artificial General Intelligence)? |
| What is the future of AI in society? |
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