Learn AI/ML
Interactive visual tutorials designed for software engineers who want to understand AI/ML without a math PhD. Animated explanations that build intuition, not formulas.
Who This Is For
You're a software engineer who can write code, understands data structures and algorithms, but didn't take ML courses in college. You want to understand how AI works, not just use APIs.
Choose Your Path
How Neural Networks Actually Work
Understand the building blocks: neurons, layers, activation functions, loss, gradients, and backpropagation. No heavy math—just intuition.
From Code to Transformers
How text becomes numbers, what attention actually does, and why transformers took over AI. The journey from embeddings to GPT.
Training Deep Learning Models
Overfitting, regularization, optimizers, and hyperparameters. How to train models that actually generalize.
Working with LLMs
Prompt engineering, fine-tuning vs in-context learning, hallucinations, and RAG. How to use LLMs effectively.
AI Safety Essentials
Alignment, reward hacking, RLHF, red teaming, and adversarial examples. Understanding the risks of powerful AI.
How Learning Paths Work
Animated Pillars
Core concepts get 3Blue1Brown-style animations that build visual intuition
Connected Concepts
Each term shows prerequisites and what it leads to—never isolated knowledge
PyTorch Examples
See how concepts translate to real code you can run and modify
Looking for a specific term?
The full glossary contains 500+ AI/ML terms with definitions, related concepts, and examples.
Browse the full glossary