Tag: vine
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Portfolio ·
VINE Data Preprocessing — Shaping the Basin Before Training
Two identical TinyGPT models, same training steps. One receives raw tweets; the other receives tweets preprocessed by VINE's cruncher. Result: 5.1% better validation loss, 22% less wasted conductor energy. The geometry of the data shapes the geometry of the model.
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Portfolio ·
Boring Code — VINE Replacing If/Elif
A thermostat controller, three ways. If/elif works. Random linear froze the building to 11°C. Geometric settling: 86.5% agreement with if/elif at zero training. A trained linear needs 126 parameters + 100k gradient steps to approximate it — and still hits an architectural ceiling on nonlinear decisions.