Foundations / Knowledge book
Artificial Intelligence
Overview
How we define, represent, and build intelligent systems.
The context window is a capacity. The context is a design decision.
Published in this topic
01The context is a design decision.
What a model sees is a product of selection, permissions, and time—not just the size of a context window.
This collection grows section by section. Concepts describe the intended coverage; related reading may introduce only part of a section.
Start Here
Follow the numbered sections in order, or choose the subject you need. Published articles are linked where they support the section.
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- What is Artificial Intelligence?Guide planned
- AI vs Machine Learning vs Deep LearningGuide planned
- Narrow AI vs General AIGuide planned
- Intelligent systemsGuide planned
- AI terminologyGuide planned
Foundations
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- SearchGuide planned
- OptimizationGuide planned
- PlanningGuide planned
- ReasoningGuide planned
- Knowledge representationGuide planned
- Expert systemsGuide planned
Related reading
No published reading is assigned to this section yet. Its place in the learning sequence is reserved as the collection grows.
Learning Systems
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- Machine LearningWhat does it actually mean for a machine to learn?
- Deep LearningSimple operations. Learned representations.
- Reinforcement LearningGuide planned
- Self-supervised learningGuide planned
Related reading
01What does it actually mean for a machine to learn?
Start with the gap between memorizing examples and learning a pattern that survives new data.
Simple operations. Learned representations.
Follow a signal through a neural network, then follow the error back to understand what training changes.
Language & Perception
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- NLPBefore generation, there was representation.
- Computer VisionGuide planned
- SpeechGuide planned
- Multimodal AIGuide planned
Generative Systems
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- Foundation modelsGuide planned
- LLMsGuide planned
- Image generationGuide planned
- Multimodal generationGuide planned
Related reading
No published reading is assigned to this section yet. Its place in the learning sequence is reserved as the collection grows.
Agentic Systems
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- AI agentsThe agent isn’t one model anymore.
- ToolsThe agent isn’t one model anymore.
- MemoryGuide planned
- PlanningGuide planned
- Multi-agent systemsGuide planned
Responsible AI
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- SafetyGuide planned
- FairnessGuide planned
- ExplainabilityGuide planned
- PrivacyGuide planned
- GovernanceGuide planned
Related reading
No published reading is assigned to this section yet. Its place in the learning sequence is reserved as the collection grows.
AI Systems
Concepts in this section
Follow the related reading where available. Dedicated guides for the remaining concepts are planned.
- ArchitectureGuide planned
- EvaluationGuide planned
- ObservabilityGuide planned
- Production AIGuide planned