74. How does a CNN process images?
75. What is pooling in CNN?
76. Why is image augmentation important?
77. What is transfer learning in Deep Learning?
78. What is YOLO in object detection?
79. What is OpenCV used for?
80. Can you explain a real-world application of Computer Vision?

🎮 Reinforcement Learning

81. What is Reinforcement Learning?
82. What is an agent in Reinforcement Learning?
83. What is a reward function?
84. What is a policy in Reinforcement Learning?
85. What is the exploration vs exploitation tradeoff?
86. Can you explain Q-Learning?
87. What is the difference between Reinforcement Learning and supervised learning?
88. What are some real-world applications of Reinforcement Learning?
89. What is Deep Q Network (DQN)?
90. What are the challenges in Reinforcement Learning?

🤖 Generative AI & LLMs

91. What is Generative AI?
92. What are Large Language Models (LLMs)?
93. What is prompt engineering?
94. What is fine-tuning in LLMs?
95. What is Retrieval-Augmented Generation (RAG)?
96. What are hallucinations in AI models?
97. What are diffusion models?
98. What does “temperature” mean in LLMs?
99. What is the difference between Chat and traditional chatbots?
100. What are the ethical concerns in Generative AI?

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