Reka Researchers Detail Data Composition and Quality for World Models
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Before a single model weight is updated, someone has to answer a deceptively hard question: What's actually in your data? 🤔 Julian Geoffrey López and Fedor Zhdanov share how they think about composition, quality, and annotation, and why getting this right determines what your world model knows, and what it doesn't. 🎥 Watch the full version: https://youtu.be/Zti7Q1Xvn_g 📄 Read more: https://reka.ai/labs/research/world-model-data-pipeline #PhysicalAI #WorldModels #DataPipeline #AI #RekaLabs
Incase you missed this 😇
@KonradJam leads the data platform team at Reka. His job: prepare hundreds of thousands of hours of video data for world model training, keeping pace with a research team that moves fast. In this episode, he and Julian Lopez share how the data pipeline for world model training actually works. Less than 100 people. Petabytes of data. No two days are the same. 📄Learn more about the work we do → https://reka.ai/news/world-model-data-pipeline #PhysicalAI #WorldModels #DataPipeline #AI #RekaLabs