All Feeds

English (US)

Information from Twitter's engineering team about our tools, technology and services.

Model-based candidate generation for account recommendationsInvalid Date
How we built Twitter’s highly reliable ads pacing serviceInvalid Date
Speeding up Transformer CPU inference in Google CloudInvalid Date
Forecasting SQL query resource usage with machine learningInvalid Date
Introducing a new Swift package for Apache Thrift Invalid Date
A hybrid approach to personalize notification volumeInvalid Date
Advancing Jupyter Notebooks at Twitter - Part 1Invalid Date
Investing in privacy enhancing tech to advance transparency in MLInvalid Date
How we rolled out security keys at TwitterInvalid Date
GNNs through the lens of differential geometry and algebraic topologyInvalid Date
Reconsidering TweetsInvalid Date
Scaling data access by moving an exabyte of data to Google CloudInvalid Date
Powering real-time data analytics with Druid at TwitterInvalid Date
Understanding Twitter conversations: A Wordle case studyInvalid Date
Next generation data insights using natural language queriesInvalid Date
Twitter Sparrow tackles data storage challenges of scaleInvalid Date
Over-squashing, Bottlenecks, and Graph Ricci curvatureInvalid Date
Data Quality Automation at TwitterInvalid Date
Data transfer in Manhattan using RocksDBInvalid Date
Graph machine learning with missing node featuresInvalid Date