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Play this technology quiz on AI and machine learning basics — 15 medium-level questions and answers.
1. What does 'AI' stand for?
💡 AI stands for Artificial Intelligence, referring to systems that can simulate human-like intelligence and reasoning.
2. What is 'overfitting' in machine learning?
💡 Overfitting occurs when a model learns the training data, including its noise, too closely, hurting performance on new data.
3. What is a 'chatbot'?
💡 A chatbot is a software application designed to simulate conversation with human users, often via text or voice.
4. What does 'deep learning' refer to?
💡 Deep learning is a subset of machine learning that uses neural networks with many layers to model complex patterns.
5. What is a 'neural network' in AI?
💡 A neural network is a computing system loosely modeled on the human brain's structure, useful for pattern recognition tasks.
6. What is 'machine learning'?
💡 Machine learning is a subset of AI where systems improve their performance on a task by learning from data.
7. What is 'natural language processing' (NLP)?
💡 NLP is a branch of AI focused on enabling computers to understand, interpret, and generate human language.
8. What is a 'large language model' (LLM)?
💡 A large language model is an AI system trained on massive amounts of text to understand and generate human-like language.
9. What is 'supervised learning' in machine learning?
💡 Supervised learning trains a model using labeled data, where the correct output is already known.
10. What is 'unsupervised learning'?
💡 Unsupervised learning trains a model on unlabeled data, letting it discover patterns or structure on its own.
11. What does 'GPT' commonly stand for in AI language models?
💡 GPT stands for Generative Pre-trained Transformer, a type of AI language model architecture.
12. What does 'training data' refer to in machine learning?
💡 Training data is the dataset used to teach a machine learning model to recognize patterns and make predictions.
13. What does 'algorithm' mean in the context of AI?
💡 An algorithm in AI is a defined set of rules or instructions that guides how a system learns or makes decisions.
14. What is 'computer vision'?
💡 Computer vision is a field of AI focused on enabling computers to interpret and understand visual information from images or video.
15. What is 'reinforcement learning'?
💡 Reinforcement learning trains an agent to make decisions by rewarding desired actions and penalizing undesired ones.