Fine-tuning
Create custom AI models trained on your data.
Active Fine-tuning Jobs
| Name | Base Model | Status | Progress | Created | ETA |
|---|---|---|---|---|---|
| Customer Support Assistant | GPT-4o | Training | 65% | 2 days ago | 4 hours |
| Legal Document Analyzer | Claude 3 | Validating | 25% | 1 day ago | 8 hours |
| Medical Diagnosis Helper | Llama 3 | Preprocessing | 15% | 12 hours ago | 10 hours |
Fine-tuning Guide
1. Prepare Your Data
Ensure your training data is high-quality, diverse, and properly formatted. Clean your data to remove inconsistencies and errors.
2. Choose the Right Base Model
Select a base model that's closest to your target task. This reduces training time and improves results.
3. Monitor Training Progress
Keep an eye on loss metrics and validation performance. Stop training when performance plateaus to avoid overfitting.
Recommended Dataset Sizes
Classification
1,000+
examples
Summarization
5,000+
examples
Conversation
10,000+
examples
Code Generation
8,000+
examples