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v2026.11,610 entries · CC-BY 4.0
Dictionary termTrack AStablev2026.2

Fine-tuning

The process of further training a pre-trained foundation model on a smaller, task-specific or domain-specific dataset, updating some or all parameters, to specialise its behaviour while retaining general capability.

ByCASRAI Editorial Board
· Last updated 21 May 2026

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Examples

Worked examples

  • Is an instance

    LoRA fine-tuning of Llama 3 on a corpus of cardiology guidelines to build a domain assistant

Counter-examples

Looks similar, but isn't

  • Not an instance

    Few-shot prompting (showing examples in the prompt) is not fine-tuning — model weights are unchanged

Editorial commentary

Variants include full fine-tuning, parameter-efficient methods (LoRA, adapters), instruction tuning, and RLHF. For scholarly disclosure, the base model, fine-tuning data, and method should be reported; fine-tuning materially changes what the model can be expected to do.

References

  • Howard and Ruder 2018 ‘Universal Language Model Fine-tuning’ ACL
  • Hu et al. 2022 ‘LoRA: Low-Rank Adaptation’ ICLR

Also known as

Model adaptation · Domain adaptation (LLM)

Machine-readable encodings

Use in your systems

JATS XML <role> element
xml
<role vocab="credit"
      vocab-identifier="https://casrai.org/dictionary/"
      vocab-term="Fine-tuning"
      vocab-term-identifier="https://casrai.org/dictionary/term/fine-tuning" />
Schema.org DefinedTerm (JSON-LD)
json
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  "sameAs": [
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    "Domain adaptation (LLM)"
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  "dateModified": "2026-05-21T01:57:28",
  "inLanguage": "en"
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