Embedding Space

Definitions

1. A high-dimensional vector space where items (words, images, documents) are represented as points such that similar items are close together. Enables semantic search, recommendation, and clustering by measuring distances between embeddings.

   In plain English: A mathematical space where similar things are placed near each other, allowing computers to understand meaning through distance.

   Example: "In the embedding space, 'king' minus 'man' plus 'woman' lands near 'queen' — the model captured semantic relationships."

Related Terms

• Latent Space
• Inference
• Few-Shot Learning
• Synthetic Data
• Model Card
• Federated Learning
• Embedding Model
• Edge AI
• Approximate Nearest Neighbor
• Autoregressive Model