The Surge AI Blog

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How Surge AI Helps NYU Study the Impact of Social Media
How Surge AI Helps NYU Study the Impact of Social Media
Start Your First Data Labeling Project
Start Your First Data Labeling Project
This post will walk you step-by-step through creating and launching a labeling project on the Surge platform.
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.
Getting started with the Python SDK
Getting started with the Python SDK
If you need programmatic access to the Surge platform, look no further! You can use the Surge API to manage all aspects of your labeling project...
Supercharge your NLP with Surge’s NER labeling tool
Supercharge your NLP with Surge’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.