Embedding

Intermediate

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric closeness.

Full Definition

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric closeness.

Keywords

vector representation

Domains

Machine Learning

Related Terms

Representation Learning narrower than

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

 Vector Database used in

A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.

 Semantic Search used in

Retrieval based on embedding similarity rather than keyword overlap, capturing paraphrases and related concepts.

 Class Imbalance related to

When some classes are rare, requiring reweighting, resampling, or specialized metrics.

 Multitask Learning related to

Training one model on multiple tasks simultaneously to improve generalization through shared structure.

 Meta-Learning related to

Methods that learn training procedures or initializations so models can adapt quickly to new tasks with little data.

 Dataset related to

A structured collection of examples used to train/evaluate models; quality, bias, and coverage often dominate outcomes.

 Representation Learning related to

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Concept Map

See how Embedding connects to other concepts.

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