PRX team publishes Part 4 detailing data strategy with VLM re-captioning and streamable corpus
The PRX team released Part 4 of their series, outlining their data strategy for assembling training data. They mix public and internal datasets, re-caption images using a VLM, and convert the result into a streamable corpus for training PRX. The post details guiding principles for diverse pre-training data.
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PRX Part 4 details data strategy: public/internal datasets, VLM re-captioning, streamable corpus
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