Sustainability & AI
Fine-tuning
Additional training that adapts a pre-trained model to a specific domain or task, such as sustainability-report analysis.
Definition
Additional training that adapts a pre-trained model to a specific domain, task or style using a smaller, targeted dataset.
Quick reference
At a glance
- Subject
- Sustainability & AI
- Editorial status
- Editorial draft
- Definition status
- Established
- Last updated
- 21 August 2026
References
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Overview
What it means
Fine-tuning updates some or all of a foundation model's weights on specialised examples — sustainability disclosures, legal texts, ecological recordings. It is far cheaper than training from scratch, and alternative lightweight methods (adapters, low-rank updates) reduce cost further.
How it is used
Organisations fine-tune general models to classify reports against frameworks, extract indicators in their own formats, or recognise domain-specific imagery — trading modest compute for substantial task accuracy.
Why it matters
Fine-tuning is the point of adaptation where generic AI becomes a specific tool — and therefore the point where domain data quality, bias and validation become the deploying organisation's responsibility.
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