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Full evaluationGlossary · Updated Sep 2, 2026
Fine-tuning
Further training of a pre-trained model on your own examples to specialise its behaviour, style, or knowledge.
Definition
Fine-tuning adjusts model weights using curated examples so the model adopts a format, tone, or domain more reliably than prompting alone. Parameter-efficient methods such as LoRA make it cheap for open-weight models, including image generators trained on a brand's style. It does not reliably teach new facts, which is better handled by retrieval.
Why it matters when choosing a tool
Fine-tuning matters when consistent style or format is critical, such as brand-consistent images or a support bot's tone, but it adds maintenance and evaluation work.
Where you will meet it
AI Image & Design, AI 3D & Game Assets, AI Coding & Development
Related terms
LoRA (low-rank adaptation) · Open-weight model · Retrieval-augmented generation (RAG) · Training data
Tools where this matters
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