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Two ways to use Jev: feature extraction and hierarchical classification

The author shares two practical uses: having Jev generate questions whose probabilities feed a logistic regression as features, and traversing a classification tree with Jev plus beam search.

Erik Spock Gafni (hiring!)
@EGafniArchived 2026.10.04Originally posted 2026.10.03
Erik Spock Gafni (hiring!) @EGafniOriginally posted 2026.10.03
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my personal faves are: AutoResearch for Feature Extraction Use LLMs to generate Jev questions's who's probabilities are fed into a classic ML algorithm like logistic regression to predict a label. Hierarchical Classification Traverse a classification taxonomy using Jev and beam sesarch. Jev is great for graph traversal.

This post quotes another post: x.com/hackgoofer/status/2106235188665778436

x.com/egafni/status/2106239570354553267Archived 2026.10.04 10:05