What is embedding? Embedding is a means of representing objects like text, images and audio as points in a continuous vector space where the locations of those points in space are semantically …

In mathematics, an embedding (or imbedding[1]) is one instance of some mathematical structure contained within another instance, such as a group that is a subgroup.

Jul 23, 2025 · The goal of embeddings is to capture the semantic meaning and relationships within the data in a way that similar items are closer together in the embedding space.

Embedding models are algorithms trained to encapsulate information into dense representations in a multi-dimensional space. Data scientists use embedding models to enable ML models to …

Nov 28, 2024 · In this example, the embedding-based similarity is significantly higher than the token-based similarity, reflecting the semantic similarities between the sentences.

An embedding is a type of data representation that is used by machine learning models. An embedding represents the semantic meaning of a piece of text. You can visualize an embedding as an array of …

Aug 25, 2025 · This course module teaches the key concepts of embeddings, and techniques for training an embedding to translate high-dimensional data into a lower-dimensional embedding vector.

4 days ago · embedding (plural embeddings) The act or process by which one thing is embedded in another. (mathematics) A map which, in any of several technical senses, represents the containment …

2 days ago · Understand vector embeddings and how they power modern AI applications. Learn how embeddings capture meaning, enable semantic...

Jul 4, 2025 · Learn what embedding models are, how they work, key benefits for AI and NLP, and best practices for effective implementation.