Fine-tuning
Fine-tuning
Fine-tuning adapts an existing AI model for a more specific task by training it on additional examples.
Explained simply
Fine-tuning adapts an existing AI model for a more specific task by training it on additional examples.
At a glance
- Category
- Models
- Difficulty
- Intermediate
- Introduced
- 2018
Real example
A legal company fine-tunes a model on approved examples so it writes documents in the firm’s style.
Why it matters
It can make a general model more useful for a specific organisation, style or task.
Timeline
The ideas behind Fine-tuning begin developing.
Fine-tuning becomes a recognised term or technique.
Research and practical applications increase.
Fine-tuning becomes connected to newer AI systems and products.
Fine-tuning remains relevant in the models area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand Fine-tuning.
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