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An 8B model can now generate scientific graphics code that rivals or surpasses the output of much larger proprietary models, thanks to a new dataset, benchmark, and reinforcement learning approach.
RDMA failover can be made significantly more efficient and correct by selectively retransmitting only the requests that were actually lost during a link failure, avoiding redundant retransmissions and semantic violations.
Tabular data can be condensed 100x faster without sacrificing downstream performance, thanks to a new training-free clustering approach.
Forget simplistic synthetic data: ChartVerse generates complex charts and reliable reasoning data from scratch, enabling an 8B model to outperform its 30B teacher in chart reasoning.
