Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Encoder

Models & Architectures · Level 2 of 5

Encoder

A component that maps input into a representation.

The encoding may be contextual, compressed, or task-specific.

Example

A text network converts a sentence into hidden vectors.

Listen to the definition and example

Audio transcript

Encoder. A component that maps input into a representation. The encoding may be contextual, compressed, or task-specific. For example: A text network converts a sentence into hidden vectors.

Explore this concept

Why it matters

This helps you distinguish a model’s structural assumptions from its learned parameter values.

Start with

Function

Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

Manage browser learning data

“Remove my test data” clears all AI 101 and ML 101 scores, reviews, project checklists and rating selections, plus saved vocabulary and recent history in this browser. Test entries cannot be separated from other learning progress. Cookie preferences, security protections, submitted feedback, contact emails and past analytics are kept.