🚀 AI/ML Wiki¶

A comprehensive knowledge base covering artificial intelligence, machine learning, and advanced topics with detailed explanations and visual diagrams.

📚 About This Wiki¶

This wiki covers the foundations and practical applications of artificial intelligence, from basic problem-solving to advanced learning systems. All content is organized for quick reference and cross-learning, with contributions from multiple authoritative sources.

Frontier AI Models (2026)¶

Overview — The 2026 AI landscape and paradigm shifts
GPT-5.4 Family — OpenAI's latest with agentic capabilities
Gemini 3.1 Pro — Google's multimodal thinking model
Claude 4.6 Series — Anthropic's reasoning models
Llama 4 (Open-Weight) — Meta's efficient open-source models
Model Comparison — Side-by-side feature matrix

Foundation & Problem-Solving¶

Intelligent Agent — Core concepts of rational agents and environments
Search Algorithms — BFS, DFS, A*, and more
Game Playing — Minimax, alpha-beta pruning, adversarial search
Constraint Satisfaction — CSP formulation and solving techniques

Knowledge & Reasoning¶

Knowledge-Based Agents — Logic and inference
Propositional Logic — Boolean satisfiability and inference
First-Order Logic — Quantified reasoning and resolution
Knowledge Representation — Structured models and ontologies

Planning¶

Classical Planning — State-space and plan-space approaches

Learning & Perception¶

Machine Learning — Learning paradigms and fundamentals
Neural Networks — Architecture, training, backpropagation
Backpropagation — Deep dive into the training algorithm
Robotics — Embodied AI, localization, planning, control

Mathematical Foundations¶

Mathematical Foundations & Background — Linear algebra, probability, complexity theory

📖 How to Use¶

Browse by topic using the navigation menu
Search using Ctrl+K (or Cmd+K on Mac)
Follow cross-references between related concepts
Use the table of contents in each page for detailed navigation

📊 Statistics¶

18+ concept pages with deep coverage
~1,900 lines of curated markdown
150+ cross-references connecting related topics
40+ algorithms documented and explained

🔗 Source¶

Textbook: Russell & Norvig - Artificial Intelligence: A Modern Approach (3rd Edition)
ISBN-13: 978-0-13-604259-4
Coverage: Comprehensive coverage of foundation, reasoning, planning, and learning

💡 Notes¶

This wiki is designed for: - Learning AI fundamentals - Reference during projects and teaching - Understanding the connections between concepts - Quick lookup of algorithms and definitions

Each page combines theory with practical explanations and cross-links to related topics.

Exported from Obsidian vault on 2026-04-07 Built with MkDocs + Material theme