Supervised Fine Tuning
Create carefully curated datasets to refine your models.
Enhance Your Model with Curated Data
Supervised Fine Tuning (SFT) allows you to take your existing model and improve its performance with carefully selected, high-quality datasets. This specifically curated training data allows you to refine your models to perform better on specialized tasks and align specifically with your requirements.
High-Speed for Fast Iterations
With our capability to label massive datasets at scale—up to 100,000 annotations per hour—we ensure rapid fine-tuning, keeping your model development on track. This enables you to even iteratively fine-tune your models due to the incredibly short turnaround times.
Global Reach and Precision Targeting
Access a diverse and skilled pool of annotators from around the world. With our advanced targeting features, we ensure you get the right people for your fine-tuning tasks—whether it’s based on language, location, or specific domain expertise. This ensures that your model can be tuned to your needs and requirements.
Seamless Integration with Our API
Managing large-scale labeling projects has never been easier. Our API and Python package streamline the process, allowing you to quickly set up and manage fine-tuning tasks. Whether you're working with small or massive datasets, our tools are designed to integrate seamlessly into your existing workflows.
