What does Embedding mean? Definition | AI Understanding

Definition

A numeric vector representation that captures semantic meaning of text, images, or other data.

Related terms

A dense vector representation of words capturing semantic relationships.

Embedding Model

A model specialized for converting data into vectors used for semantic search, clustering, and retrieval.

A multimodal model architecture that learns shared representations between text and images.

Computer Vision

The branch of AI that extracts meaning from images and video.

Convolutional Neural Network (CNN)

A neural architecture optimized for processing grid-like data such as images.

Diffusion Model

A generative architecture that learns to reverse noise to synthesize images, audio, or other content.

Learn more in our free guides

Audio Embeddings and Representation Learning Sentence-BERT Embeddings X-Vector Speaker Embeddings HyDE Hypothetical Document Embeddings

See also

Domain Adaptation Encoder Distillation Ensemble Evaluation Set Deep Learning Explainability Decision Tree

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