Guide · x.com
Two favourite Jev patterns: AutoResearch features and hierarchical classification
Erik Gafni of TypeSafe names his favourites from the cookbooks. AutoResearch for feature extraction: an LLM writes Jev questions, and their probabilities feed a classic algorithm such as logistic regression to predict a label. Hierarchical classification: traverse a taxonomy with Jev.
Erik Spock Gafni (hiring!)
@EGafni
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.
Oct 3, 2026 · 249 likesOpen on X
