The VLM Run Feedback API enables you to collect and submit feedback on model predictions to continuously improve accuracy and performance. This feedback data is essential for fine-tuning vlm-1 models to better serve your specific use cases and domains.
Be Specific: Provide detailed feedback about what was correct or incorrect
Use Structured Data: Include ratings, categories, and specific metrics when possible
Add Context: Use the notes field to explain your reasoning
Consistent Feedback: Maintain consistent criteria across your team for better model training
Fine-tuning capabilities are currently only available for our enterprise-tier customers.
If you are interested in using this feature, please contact us.