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Product
Real World ML Evaluations: Evaluating Facebook's Search Quality
Jefferson Lee
Product
Jun 13, 2022
New Data Labeling Tools for Training Chatbots and Conversational Assistants
Andrew Mauboussin
Product
Jun 8, 2022
How to Pick the Best Data Labeling Platform
Scott Heiner
Product
May 21, 2022
Is Elon right? We labeled 500 Twitter users to measure the amount of Spam
Jefferson Lee
Product
May 19, 2022
ML School: Neural Networks
Bradley Webb
Product
Dec 2, 2021
Learn about neural networks, a foundational element of machine learning.
Manifold: Using Neural Embeddings to Explore the Shape of Your Data
Jefferson Lee
Product
Sep 18, 2021
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
Jefferson Lee
Product
Aug 2, 2021
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
Edwin Chen
Product
Aug 2, 2021
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.