Prompts in Label Studio is a very powerful tool for evaluating your models and prelabeling your data, but did you know that it can also be used to efficiently generate synthetic data? This data is especially valuable for training a RAG system, where you have the desired outputs but lack corresponding inputs. Join ML Evangelist Micaela Kaplan as she walks you through how to use Prompts for Synthetic Data Generation, to help you speed up the time it takes to create data to train your models.
What you’ll learn:
- How to create a project in Label Studio for synthetic data generation
- How to leverage Prompts to quickly generate high quality synthetic data
- How to understand the quality of your synthetic data to ensure best results
Speakers
Machine Learning Evangelist
Micaela Kaplan is the Machine Learning Evangelist at HumanSignal. With her background in applied Data Science and a masters in Computational Linguistics, she loves helping other understand AI tools and practices.