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# Experiment 2.5 Update: COCO convergence is slow but steady.
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I underestimated the complexity of associative cross-modal differences, but it is converging.
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If this fails to meet direct expectations, I'll form a proper hub and teach using the bertenstein method.
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# Experiment 2.5 Update: COCO convergence is slow but steady.
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BCE loss isn't the best catalyst for geometry but it does work to funnel through an aligned transformer.
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I underestimated the complexity of associative cross-modal differences, but it is converging.
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If this fails to meet direct expectations, I'll form a proper hub and teach using the bertenstein method.
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