MDSection 7 of 38 · 7 subtopics
Embeddings
Turning tokens into vectors that capture meaning. The foundation of semantic understanding.
Learning path
Work through each subtopic in order. Click any file below to open its lesson. Track your progress with the checkbox at the bottom.
Subtopics
Each subtopic includes a concise explanation, code examples, and references.
01
Token Embeddings
Token-to-vector visualization.
token-embeddings
02
Embedding Matrix
Matrix viewer.
embedding-matrix
03
Embedding Dimension
Dimension comparison.
embedding-dimension
04
Semantic Representation
2D/3D embedding space.
semantic-representation
05
Vector Space
Interactive point cloud.
vector-space
06
Cosine Similarity
Two-vector comparison.
cosine-similarity
07
Semantic Search
Query + vector-space visualization.
semantic-search