by Heman10x-NGU
Develops and benchmarks a non-autoregressive typed-decision model against Jev and Laya
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Platforms
Use cases
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