Artificial intelligence, explained simply
Artificial intelligence has gone from research labs to your phone in a few years, but how it works is rarely explained plainly. A large language model doesn't look answers up; it predicts the next word based on patterns learned from huge amounts of text. A neural network isn't a digital brain; it's layers of simple maths whose numbers are nudged, millions of times, until the outputs get better. Know.it's AI lessons animate those ideas step by step, so you understand what these systems can and can't do.
This page collects our free AI explainers: the difference between AI, machine learning and deep learning; how neural networks train; how LLMs such as ChatGPT generate text; computer vision and speech recognition; prompt engineering and AI agents; and the bigger questions around artificial general intelligence. Comparisons untangle the terms people use interchangeably.
Know.it also offers visual lessons on request using available credits or plan allowance; saved and public lessons can be reused. Ask anything about AI and learn it in English, Hindi, Marathi, Tamil, Telugu, Hinglish and Minglish, depending on your plan and selected lesson options.
Popular AI lessons
Most-watched in the free Public Library
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What is…? AI explainers
Free written definitions, key facts and FAQs
What is artificial intelligence?
What is machine learning?
What is a large language model?
What is a neural network?
What is deep learning?
What is prompt engineering?
What is an AI agent?
What is computer vision?
What is natural language processing (NLP)?
What is artificial general intelligence (AGI)?
What is a chatbot?
How does it work? AI step by step
The mechanism, one step at a time
How do large language models work?
How does machine learning work?
How does a neural network learn?
How does a chatbot work?
How does a recommendation algorithm work?
How does machine translation work?
How do AI image generators work?
How is an AI model trained?
Why do AI chatbots make things up?
AI comparisons
Commonly confused ideas, side by side
AI vs. Machine Learning: What's the Difference?
Deep Learning vs. Machine Learning: What's the Difference?
Neural Network vs. Deep Learning: What's the Difference?
Machine Learning vs. Deep Learning: What's the Difference?
Key areas of AI
Where to start, and what each area covers.
What AI actually is
The broad goal of making machines perform tasks that normally need human intelligence.
Machine learning
Learning patterns from data instead of following hand-written rules.
Neural networks and deep learning
Layers of simple units that, trained together, can recognise images and language.
Large language models
How LLMs like ChatGPT predict text, and why they sometimes make things up.
Prompt engineering and agents
How to ask AI good questions, and how AI agents use tools to complete tasks.
AI's future and limits
What artificial general intelligence would mean and why today's AI isn't there yet.

