Using dedicated resources to speed up applications with large datasets
What will I learn?
Hierarchical configuration for classification and extraction tasks
In this page, you will learn how to create a hierarchical task (classification, extraction, etc.).
Updating the label schema
In this guide we will demonstrate how to update the label schema (list of classes) of your application. There are two ways to update your label schema: from the...
Ground truth annotations
While Snorkel Flow allows you to programmatically generate labels for your training split, having GT labels for data points in other splits is still recommended...
Versioning ground truth
This lesson demonstrates how to save multiple different versions of Ground Truth for your data. This applies to use cases involving various iterations on the Gr...
LLM automation
Snorkel Flow has integrated large language model (LLM) automation in multiple ways to support your machine learning development cycle within the platform.