How artificial intelligence works: concepts, types, models, hardware and safety
WikiAI Guide explains how artificial intelligence works, with articles on AI foundations, machine learning, deep learning, generative AI, AI applications, AI hardware, AI evaluation and AI safety and policy. Every article is built from the public documentation of standards bodies, government programs and manufacturers, and cites its sources in the text.
Topics
AI foundations
What artificial intelligence is, where the idea came from, and the core concepts and debates that shape the field.
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Machine learning
How computers learn patterns from data, from training and evaluation basics to classic algorithms.
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Deep learning
How multilayer neural networks are built and trained, from single neurons to transformers.
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Generative AI
How models that produce text, images, audio and code work, and how people adapt and use them.
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AI applications
How AI techniques are put to work in vision, language, speech, science, health, finance, robotics and software.
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AI hardware
The chips, memory, networks, data centers and devices that train and run AI models, and how their performance is measured.
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AI evaluation
How AI systems are measured: metrics, benchmarks, human review, red teaming and the limits of test scores.
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AI safety and policy
Alignment, fairness, privacy, provenance and the laws and frameworks that govern how AI is built and used.
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