The Surge AI Blog

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Inter-rater Reliability Metrics: Understanding Cohen's Kappa

Inter-rater Reliability Metrics: Understanding Cohen's Kappa

In the second post in our series on inter-rater reliability metrics, we dive into Cohen's kappa statistic.
5 Examples of the Importance of Context-Sensitivity in Data-Centric AI

5 Examples of the Importance of Context-Sensitivity in Data-Centric AI

Data-centric AI requires radically rethinking your datasets, features, and labels. Here are 5 examples where context-sensitive features and context-sensitive labels are crucial for AI applications.
The Pitfalls of Inter-Rater Reliability in Data Labeling and Machine Learning

The Pitfalls of Inter-Rater Reliability in Data Labeling and Machine Learning

How a simple logic problem illustrates the shortcomings of inter-rater reliability metrics and common AI datasets...
A Visual Introduction to Language Models in NLP (Part 1: Intuition)

A Visual Introduction to Language Models in NLP (Part 1: Intuition)

The first installment in a new tutorial series exploring the richness of language and NLP...
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...
Start Your First Surge AI Data Labeling Project

Start Your First Surge AI Data Labeling Project

This post will walk you step-by-step through creating a labeling project on the Surge AI platform and leveraging our data labeling workforce.
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 Surge AI's Python SDK

Getting started with Surge AI's Python SDK

If you need programmatic access to the Surge AI platform, look no further! You can use the Surge API to manage all aspects of your labeling project...
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.