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Learn how to use the ML Backend in Label Studio to speed up your labeling and improve time-to-insight for your models.
Struggling with slow labeling cycles? Tired of waiting too long to see how your models perform? The Machine Learning (ML) Backend in Label Studio allows you to connect any model you might have to Label Studio for prelabeling, which dramatically speeds up the time-to-insight on both your models and your annotation tasks.
Join ML Evangelist Micaela Kaplan as she walks you through what the Label Studio ML Backend is and how it works. She’ll also teach you how to use it with some popular already-integrated models and show you how to build your own ML Backend integration to speed up your labeling and improve time-to-insight for models that don’t already have an integration (such as custom models).
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.