Introducing DBRX: A New State-of-the-Art Open LLM

Today, we are excited to introduce DBRX, an open, general-purpose LLM created by Databricks. Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs.

Logarithm: A logging engine for AI training workflows and services

NEW

Logarithm indexes 100+GB/s of logs in real time, and thousands of queries a second. We designed the system to support service-level guarantees on log freshness, completeness, durability, query latency, and query result completeness.

Sequential A/B Testing Keeps the World Streaming Netflix Part 2: Counting Processes

FOSS

Have you ever encountered a bug while streaming Netflix? Did your title stop unexpectedly, or not start at all? In the first installment of this blog series on sequential testing,

Scaling AI/ML Infrastructure at Uber

Machine Learning (ML) is celebrating its 8th year at Uber since we first started using complex rule-based machine learning models for driver-rider matching and pricing teams in 2016. Since then, our progression has been significant

The Scary Thing About Automating Deploys

Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers create hundreds of changes every week.

Ledger: Stripe’s system for tracking and validating money movement

Last Black Friday to Cyber Monday, Stripe processed 300 million transactions with a total payment volume of $18.6B

Finding AI-generated (deepfake) faces in the wild

At LinkedIn, we put our members first, which includes making sure that they have real and authentic interactions on our platform. To do so, we constantly evaluate the ways that those interactions might be discredited or undermined and then be proactive about safeguarding them.