Core Concepts
AI (Artificial Intelligence)
Artificial intelligence is the broad field of computer science dedicated to creating systems that perform tasks typically requiring human intelligence—reasoning, learning, problem-solving, perception, and language understanding. It encompasses machine learning, deep learning, NLP, computer vision, and robotics.
AI has progressed through several waves, from rule-based expert systems in the 1980s to statistical ML in the 1990s to the current deep learning era. Frontier LLMs represent the latest milestone, demonstrating emergent capabilities across diverse tasks.
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Core Concepts
Machine Learning
Getting computers to learn from data and improve at tasks without explicit programming.
Core Concepts
Deep Learning
Subset of ML using neural networks with many layers to analyze complex data representations.
Core Concepts
Generative AI
AI systems that produce new content — text, images, audio, video, or code — by learning the statistical distributions of training data and sampling from them, rather than retrieving stored outputs.
Core Concepts
Strong AI
AI with the ability to understand, learn, and apply knowledge like human intelligence.