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Autoregressive video pretraining unlocks the full potential of long contexts for real-time robot control, boosting success rates by 15% and enabling complex manipulation previously impossible.
Achieving a 98.6% energy reduction in cloud removal for LEO satellites could revolutionize Earth observation capabilities.
Achieving SFT-level performance with less than 7% of the computation, Weightless Fine-Tuning revolutionizes how we personalize LLMs without costly weight updates.