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Traditional research papers are costing AI agents reproducibility and understanding, but a new "Agent-Native" format that captures the full messy research process boosts performance by up to 20%.
BlazingAML delivers up to 333x speedups in anti-money laundering detection while maintaining state-of-the-art accuracy, by compiling high-level fuzzy pattern descriptions into optimized GPU code.
