Fine-tuning
TrialFreeCustomizing pre-trained models on domain-specific data
trainingcustomizationml
Advantages
- Domain expertise
- Consistent outputs
- Smaller models possible
Considerations
- Requires data
- Training costs
- Can reduce capabilities
PricingFree tier: Technique/methodology - no cost
Use Cases
Domain adaptation
Style customization
Specialized tasks
Alternatives
RAG
Prompt engineering
Few-shot learning
Release History
No release history available yet.