AI & Machine Learning Visualizations
Demystify artificial intelligence through interactive, step-by-step visualizations. Learn how neural networks, transformers, and modern AI systems actually work under the hood.
Recommended Learning Path
Follow this path for a structured introduction to AI concepts
AI Fundamentals
Understand the core concepts of neural networks and how they learn. See forward propagation, activation functions, and gradient descent in action.
Transformer Architecture
Dive into the revolutionary transformer architecture. Learn how attention mechanisms enable models to understand context and relationships.
Large Language Models
Explore how LLMs process and generate text. From tokenization to embeddings, understand the building blocks of modern language AI.
RAG Systems
Learn how Retrieval-Augmented Generation combines search and generation. See vector databases and semantic search in action.
Why Visualize AI?
AI concepts are often abstract and mathematical - visualization makes them concrete
Interactive Exploration
Adjust parameters and see immediate results. Experiment with different configurations to build intuition.
Step-by-Step Breakdown
Complex operations broken down into digestible steps. Follow the data as it flows through the system.
Mathematical Clarity
See the math alongside the visuals. Understand both the what and the why of each operation.
Prerequisites
Basic Programming Knowledge
Understanding of variables, functions, and basic data structures.
Basic Math Concepts
Familiarity with basic algebra and understanding of vectors and matrices is helpful.
No AI Experience Required
These visualizations are designed to teach AI concepts from the ground up.