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📑 Case Studies
How OpenAI Uses LLMs to Explain Neurons Inside LLMs
Explaining Neuron Behavior at Scale + Neuron Viewer
Sep 9, 2024
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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, 2024
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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, 2024
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Inside AlphaFold: DeepMind’s Recipe For Success
How To Build Teams Destined For Breakthroughs
Jun 6, 2024
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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, 2024
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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, 2024
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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, 2024
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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, 2024
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