Readwithjev: live emotional highlighting
Open source reader that uses live inference to classify the emotion of every sentence as you scroll, plus a whole-book character map to jump straight to any character's scenes.
Open source reader that uses live inference to classify the emotion of every sentence as you scroll, plus a whole-book character map to jump straight to any character's scenes.
A self-hosted proxy that trains a local model on Jev's answers. It served 72% of Banking77 locally at 15 ms, with a 2% audit and a bound on disagreement.
tomerglick57 · Tools & apps · 15 ms local
tomerglick57
GitHub
Tools & apps
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15 ms local
Semantic-aware linting with System One models: rules you can state in a sentence, checked against your code by Jev.
@nalexpeae · Tools & apps
@nalexpeae
Site
Tools & apps
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Typo tolerance, typeahead, barcodes and facet counts in plain Postgres SQL, plus an optional Jev step that asks one question per top-10 result.
@alex_forman1 · Tools & apps
@alex_forman1
GitHub
Tools & apps
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built a virtual closet & outfit generator from raw closet videos. classification + semantic search thanks to jev 🥰. clueless closet dreams finally coming to life
@maitreemervana · Tools & apps
@maitreemervana
X post
Tools & apps
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An open source demo of UI made possible by live inference + general classification. @typesafeai's JEV reads Dostoevsky with you, highlighting the emotion in every sentence as you scroll, and a character map jumps to any character's scenes. Dozens of other novels too. Show more