Building a Data Pipeline for World Models From Scratch
RekaAILabs · x · 2026-07-15
Reka Labs shares their data team's practices in training an **omni world model** from scratch. Key takeaways: - Training models capable of both video generation and understanding requires processing **petabytes 级视频数据**. - The entire workflow consists of **6 个 pipeline stages**. - For these models, **数据质量的每一点提升都会被放大**, as it simultaneously impacts both generation and comprehension. The post also mentions building their training infrastructure using **Ray on Kubernetes**, along with a link to detailed explanations from the data team.
Related event: Reka Labs Details Data Pipeline for Training World Models(2 posts)→
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