AI Glossary Term

What does “Encoder” mean?

Definition

The component of a model that transforms input into latent representations.

Related terms

Attention Mechanism
A model component that dynamically focuses on relevant parts of an input when producing an output.
Tokenization
The process of splitting text into tokens for model input.
Bi-Encoder
A model that encodes queries and documents into separate vectors so they can be compared quickly at scale.
Embedding Model
A model specialized for converting data into vectors used for semantic search, clustering, and retrieval.
Chain-of-Thought
A reasoning style where an AI model decomposes a problem into intermediate steps.
Classification
A task where a model assigns an input to one or more predefined categories.

Learn more in our free guides

AutoencodersSparse Autoencoders for InterpretabilityCross-Encoders vs Bi-EncodersSparse Autoencoders for Feature Extraction

See also

EmbeddingEnsembleDomain AdaptationEvaluation SetDistillationExplainabilityDiffusion ModelFalse Negative
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