Fine-Tuning
The process of adapting a pre-trained model to a specific task by training it on task-specific data.
In more detail
Fine-tuning starts with a model pre-trained on large general data, then continues training on smaller task-specific datasets. This approach combines general knowledge with specialized expertise and requires less data and compute than training from scratch. Common in NLP for domain-specific applications.
Examples
- Adapting GPT for legal documents
- Custom sentiment analysis
- Domain-specific code generation
- Medical document classification
Related terms
Ready to Build Production AI Systems?
Join a small cohort learning directly from an engineer who's shipped AI at Atlassian and PhonePe scale.
20 weeks · Weekend live classes · 1:1 mentorship · 20+ projects.
20 Weeks
Live Weekend Classes
< 30 Seats
Small Batch
Next Soon
Get priority access
7-Day
Money-Back Guarantee
Taught by Debasish Maji · Senior AI Engineer · Ex-Atlassian (Rovo Agent) · Ex-PhonePe (550M+ users)
Get notified when the next batch opens + free AI resources