Learn AI
Free guides explaining AI concepts in plain English. No jargon walls, no PhD required. Start with the basics or jump to what interests you.
Getting Started with AI
New to AI? Start here. A practical roadmap for beginners.
BeginnerWhat is Machine Learning?
How computers learn from data instead of being explicitly programmed.
BeginnerWhat Are Neural Networks?
The computing systems behind modern AI, loosely inspired by the brain.
BeginnerWhat is Deep Learning?
Neural networks with many layers — the tech behind today's breakthroughs.
BeginnerWhat Are Large Language Models?
GPT-4, Claude, Gemini — how they work and why they matter.
IntermediateWhat Are Transformers?
The architecture behind virtually every major AI model since 2017.
IntermediateHow AI Models Are Trained
Data, GPUs, and the pipeline from raw text to working AI.
IntermediateWhat is Fine-Tuning?
Adapting pre-trained models for specific tasks and domains.
IntermediateWhat is RLHF?
Reinforcement Learning from Human Feedback — how ChatGPT got helpful.
PracticalWhat is Prompt Engineering?
Getting better results from AI models through better instructions.
IntermediateWhat is RAG?
Retrieval-Augmented Generation — giving AI access to your data.
IntermediateWhat Are Embeddings?
How AI converts text and images into numbers that capture meaning.
IntermediateWhat Are AI Agents?
Autonomous systems that plan, use tools, and take actions.
BeginnerWhat is NLP?
How AI understands and generates human language.
BeginnerWhat is Computer Vision?
How AI processes images and video — object detection to medical imaging.
IntermediateWhat Are Diffusion Models?
The technology behind Stable Diffusion, DALL-E, and Midjourney.
BeginnerWhat is Multimodal AI?
Models that process text, images, audio, and video together.
IntermediateWhat is Reinforcement Learning?
AI that learns by trial and error, rewards, and penalties.
BeginnerOpen Source AI Explained
Llama, Mistral, and the movement to democratize AI.
ImportantWhat is AI Safety?
Keeping AI reliable, aligned, and under human control.
ImportantAI Ethics Explained
Bias, fairness, transparency, and the moral questions of AI.
PolicyAI Regulation Explained
EU AI Act, US policy, and global rules for AI.
AdvancedAI Security & Red Teaming
Prompt injection, jailbreaks, and how AI systems are defended.
IntermediateUnderstanding AI Benchmarks
MMLU, HumanEval, and how we measure AI performance.