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An AI that does the deciding, not just the coding.
This project speeds up Transformer inference on NVIDIA T4 GPUs with packed QKV, mask caching, and a fused CUDA residual-LayerNorm kernel, achieving up to 1.537x speedup while preserving accuracy.
Most detectors break under real-world corruption. Persist estimates corruption severity and calibrates its confidence accordingly — validated across generators, resolutions, and 15 transform types.
0.863 against a 0.107 baseline. 92.5% of a ceiling we measured. No model, no network, no dependencies.
Ever tried to log into Canvas with two minutes left before a deadline, only to get destroyed by an authenticator app? Yeah, this doesn’t fix that. It makes it fun before you miss the deadline anyway.
