FinetuneDB Features
The features we provide streamline the end-to-end model fine-tuning and serving workflow.- Data Collection: Our SDK automatically captures all interaction data, from initial uses of generic models to engagements with custom fine-tuned models.
- Data Refinement: Use our dataset manager to filter and adjust content for high-quality training data.
- Fine-Tuning: Fine-tune both open-source and proprietary models with your datasets directly from our platform.
- Evaluations: Test models side by side. Use Human-in-the-loop and LLM-as-judge feedback to validate outputs.
- Model Serving: Deploy and serve fine-tuned open-source models from FinetuneDB with our inference API.
- Ongoing Monitoring: Continuously monitor models in production to detect data drift and identify performance edge cases.
- Continuous Retraining: Use feedback from monitoring to further fine-tune models through a continuous learning cycle.