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Washington University in St. Louis
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TerraDiT-惟 transforms satellite image synthesis by seamlessly integrating diverse geospatial primitives, outperforming traditional methods in flexibility and accuracy.
Genuine agency in AI requires internalized structures, not just engineered workflows, to ensure true autonomy and safety.
Fixing your parallelism strategy while tuning batch size (or vice versa) leaves performance on the table: COPUS adaptively co-tunes both for faster LLM training.
Forget simple scaling laws: the compute-optimal number of parallel rollouts in LLM RL plateaus, revealing distinct mechanisms for easy vs. hard problems.
