Understand what AI is before trusting what it says.
A practical training module to help learners distinguish core AI categories, understand where language models fit, and apply safer judgment in clinical and operational contexts.
The AI hierarchy
Explore the animated circles and click each level to understand how AI, ML, DL, and LLMs relate to one another.
Artificial Intelligence
The broad umbrella layer that includes intelligent systems used for decision support, orchestration, optimization, prediction, generation, and assistance.
Machine Learning
A subset of AI that learns from examples to score, classify, forecast, or predict outcomes.
Deep Learning
A specialized form of ML using layered neural networks for images, speech, and other complex signal data.
Large Language Models
Deep Learning systems specialized for language tasks such as summarization, rewriting, extraction, and generation.
AI agents
Understand how agents differ from a model alone by combining reasoning, tools, memory, and action across multi-step workflows.
Classification quiz deck
A larger practice set with 25 questions to reinforce classification across AI, ML, DL, LLM, and non-AI examples.
The broadest category that includes systems designed to perform tasks associated with human intelligence.