Embedding

Definition

A vector representation of data (like words) where similar meanings are mapped closer together in vector space.

Detailed Explanation

In the world of Infrastructure, Embedding is defined as a vector representation of data (like words) where similar meanings are mapped closer together in vector space.

At its core, Embedding solves a specific problem in the AI landscape. Unlike traditional approaches, it leverages advanced algorithms to process data more efficiently.

Applications of Embedding

Real-world applications include advanced natural language processing, computer vision systems, and automated decision-making frameworks.

From an infrastructure perspective, optimizing this component is key to reducing latency and inference costs.

Last updated: February 2026