A fleet of sensor-specialized 22M-parameter JEPA models routed by an LLM improves LLM-as-judge scores on hydrologic questions over AlphaEarth alone with Cohen's d of 1.10.
Breiman, Random forests, Machine Learning 45 (2001) 5–32
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Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence
A fleet of sensor-specialized 22M-parameter JEPA models routed by an LLM improves LLM-as-judge scores on hydrologic questions over AlphaEarth alone with Cohen's d of 1.10.