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Large Language ModelsOpen-Source AIr/MachineLearningPublished: Sep 23, 2026, 13:00 JST

Jayce prototype learner hits 1.6x–4x faster than backprop

Jayce prototype learner hits 1.6x–4x faster than backprop

A developer built Jayce, a framework-free prototype learner using Adaptive Prototype Memory (APM) that stores an LLM's raw context vectors in 4,096 prototype slots, claiming 1.6x–4x faster learning than backprop.

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