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Capability 3.1.2.1

Domain Adaptation

Definition

Refining a pre-trained model using sector-specific or locally sourced datasets so it performs better in a specific domain, language or operational context.

Examples

  • Fine-tuning a general-purpose vision model on Australian legal, medical or environmental data to tailor outputs to local conditions.

Indicators

  • Number of models fine-tuned domestically to specialise in priority sectors
  • Performance uplift vs base model

National AI Plan

PLAN COMMITMENT

Limited commitment

Acknowledges the importance of models being trained on locally relevant data and the value of sector-specific models (Action 2), but no specific domain adaption references, action or funding. Limited commitment by government is a missed opportunity to build leverage with this existing high agency capability. It is particularly important to increase agency in this capability if investments are not made in General Purpose & Frontier Models (3.1.1.10).

Stocktake

Is the Stocktake missing evidence?

Share additional information for potential future Assessments