Data Labeling 2

The Power of the Crowd: A Gig Economy for Unstructured Data Processing

Learn what the super.AI Data Processing Crowd is, how it works, and how it can transform the way your business automates data processing at scale.

Published on: Aug 24, 2022

Deconstructing the Super.AI UDP Platform: Our Crowd vs. Your Own Labelers

With super.AI you can use our in-house labelers or you can choose to label data yourself or with team members you invite. The option you choose depends on your project’s requirements.

Published on: Dec 7, 2020

How Artificial Intelligence Simplifies Problems

The world of machine learning (ML) is complicated. If you’re thinking about integrating ML into your project, there are hundreds of questions you will quickly find yourself asking. How to store, version, and process your data? What development framework and hyperparameter optimization and resource management solutions should you use during the development and training of your model?

Published on: Sep 21, 2020

12 Overlooked Data Labeling Rules to Unlock the Power of AI

To create training data for ML projects, you need to work with human labelers. That means writing clear instructions on how to label your data. Here’s 12 rules for how to do this right.

Published on: Nov 25, 2019