AI Terminology
/Advanced
Embeddings
Definition
The mathematical translation of concepts (words, sentences, or images) into high-dimensional arrays of numbers (vectors) in such a way that similar concepts are located close to each other in mathematical space.
Explain Like I'm New
Giving words GPS coordinates. The AI plots the word 'King' on a map. It plots the word 'Man' nearby. It plots the word 'Apple' a million miles away. If you tell the AI 'Find me words near King', it looks at the map and finds 'Queen' and 'Prince'.
Real World Example
Spotify uses embeddings. It turns every song into a mathematical vector. When you listen to a Rock song, Spotify's algorithm searches the 'Vector Map' for other songs with very similar mathematical coordinates and puts them in your Discover Weekly playlist.
Common Use Cases
- •Semantic Search
- •RAG systems
- •Recommendation engines
Interview Questions
basic
- Do Embeddings represent words as text strings, or as arrays of numbers?
intermediate
- What is 'High-Dimensional Space' in the context of Embeddings?