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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.

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

Fine-tuning

Deep Learning · Level 2 of 5

Fine-tuning

Continuing training of a pretrained model for a target task or dataset.

Updating parameters adapts the model; it can also damage previous capabilities.

Example

A pretrained language model is trained further on support examples.

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Audio transcript

Fine-tuning. Continuing training of a pretrained model for a target task or dataset. Updating parameters adapts the model; it can also damage previous capabilities. For example: A pretrained language model is trained further on support examples.

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A useful analogy

Adjusting an already trained skill through further practice.

Why it matters

This helps explain why a neural model learns well, becomes unstable, or fails to generalize.

Technical detail

Training continues from pretrained θ on a new objective or dataset; some methods update only a small subset or additional parameters.

Common misconception

Putting documents in a prompt does not update weights and is not fine-tuning.

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Related concepts

Quick recall question

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

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