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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