📑 Case Studies

How OpenAI Uses LLMs to Explain Neurons Inside LLMs

Explaining Neuron Behavior at Scale + Neuron Viewer

Sep 9 •

How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines

How open-sourced Neurosymbolic AI (Neural Networks + Symbolic Systems) is revolutionizing automated theorem proving

Aug 22 •

Confident Product Decisions with Data: Inside Spotify’s Risk-Aware A/B Testing Framework

Learn how Spotify’s multi-metric evaluation strategy can enhance your A/B testing and drive innovative product decisions.

Jun 29 •

Inside AlphaFold: DeepMind’s Recipe For Success

How To Build Teams Destined For Breakthroughs

Jun 6 •

Uber's Billion Dollar Problem: Predicting ETAs Reliably And Quickly

A visual deep dive into how Uber uses graph theory, embeddings and self-attention and to predict ETAs

Apr 25 •

How Tesla Continuously and Automatically Improves Autopilot and Full Self-Driving Capability On 5M+ Cars

Learn how to build a data engine that continuously improve your ML models

Apr 17 •

How Apple Performs Person Recognition Without Photos Leaving Your iPhone

Learn how contrastive learning, embeddings and clustering recognize people across a diverse demographic

Apr 5 •

How Netflix Uses Machine Learning To Decide What Content To Create Next For Its 260M Users

Learn how metadata, pre-training and embeddings drive decision-making at Netflix

Mar 26 •

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