LoRA
Low-Rank Adaptation
LoRA is a lightweight way to customise a large AI model without retraining all of it.
Explained simply
LoRA is a lightweight way to customise a large AI model without retraining all of it.
1Base model
→
2Small adapter
→
3Train adapter
→
4Custom behaviour
At a glance
- Category
- Models
- Difficulty
- Advanced
- Introduced
- 2021
Real example
A designer uses LoRA to teach an image model a consistent visual style with relatively little training.
Why it matters
It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.
Timeline
Origins
The ideas behind LoRA begin developing.
2021
LoRA becomes a recognised term or technique.
Wider use
Research and practical applications increase.
Modern AI
LoRA becomes connected to newer AI systems and products.
Today
LoRA remains relevant in the models area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand LoRA.
1Base model
→
2Small adapter
→
3Train adapter
→
4Custom behaviour
1 of 6
Was this helpful?
Your feedback helps improve this explanation.
