LLMs make it possible to label datasets extremely quickly. However, these machine-labeled datasets are often of very low quality, poor reliability, and are generally unfit for training production-ready models. At the same time, the speed and convenience upsides are too good to ignore.
If you want to learn how to reduce your labeling costs by 5x while quadrupling labeling throughput for text-based use-cases with a high degree of accuracy using GenAI, you won’t want to miss this webinar.
Sheree Zhang, Product Manager at HumanSignal, will show you how to:
- Efficiently bootstrap predictions for quick prototyping and decreased time to ML development.
- Use real-time quality feedback to fine-tune a prompt for auto-labeling large-scale datasets
- Automatically convert model predictions into usable labels
This 45-minute webinar will include a live demo, useful workflow help, and live Q&A.
We’ll see you there!
Speakers
Sr. Product Manager
Sheree Zhang is a Sr. Product Manager at HumanSignal. She builds Gen AI products that enhance machine learning quality and development speed. Her mission is to deliver experiences that enhance the lives of fellow humans.