Product

The Toxicity Dataset

The Toxicity Dataset

The Obscenity List

The Obscenity List

ML School: Neural Networks

ML School: Neural Networks

Learn about neural networks, a foundational element of machine learning.

How Surge AI Helps NYU Study the Impact of Social Media

How Surge AI Helps NYU Study the Impact of Social Media

A case study into how Surge AI helped NYU study the impact of social media on the Georgia Senate elections...

Manifold: Using Neural Embeddings to Explore the Shape of Your Data

Manifold: Using Neural Embeddings to Explore the Shape of Your Data

We're excited to share Surge Manifold, a visual tool to help you explore your datasets and understand outliers in your data.

Supercharge your NLP with Surge AI’s NER labeling tool

Supercharge your NLP with Surge AI’s NER labeling tool

We’re excited to release the newest feature in our NLP labeling suite: a self-serve, multi-user tool for labeling named entity recognition...

The AI Bottleneck: High-Quality, Human-Powered Data

The AI Bottleneck: High-Quality, Human-Powered Data

AI has blown past our wildest dreams; in practice, Siri can’t even tell us the weather. The problem? Creating high-quality datasets to train and measure our models is still incredibly difficult. We should be able to gather 20,000 labels for training a Reddit classifier in a single day, but instead, we wait 3 months and get back a training set full of spam.