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Glossary
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Encoder
AI Glossary Term
What is Encoder?
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
Autoencoders
Sparse Autoencoders for Interpretability
Cross-Encoders vs Bi-Encoders
Sparse Autoencoders for Feature Extraction
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