The Corpus

An interconnected knowledge graph mapping the landscape of artificial intelligence. Each node is a concept. Each edge is a relationship—either a learning prerequisite or a semantic similarity computed via Jaccard index over shared tags. Drag, zoom, and click to explore how ideas connect.

Classical MLDeep LearningGenerativeReinforcement LearningWorld Modelling
How was the graph created?

Learning Path edges come from each topic's prerequisite list. If one topic names another topic as a prerequisite, the graph draws a directed relationship from the prerequisite to the topic that builds on it.

Semantic edges are computed at build time with Jaccard similarity over each topic's domains and tags. The score is shared labels divided by all unique labels across the two topics; pairs at or above the configured threshold are shown as dashed semantic connections.