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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.

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Exposure Bias

RNNs · Level 3 of 5

Exposure Bias

A mismatch caused by training on reference histories but generating from model-produced histories.

Earlier prediction errors can lead to unfamiliar later inputs.

Example

A decoder makes one error and then conditions subsequent words on that error.

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Audio transcript

Exposure Bias. A mismatch caused by training on reference histories but generating from model-produced histories. Earlier prediction errors can lead to unfamiliar later inputs. For example: A decoder makes one error and then conditions subsequent words on that error.

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This helps you trace information and gradient flow through sequence models.

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

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