Movie search: Laya local vs Jev API
Movie search running Laya locally and Jev over the API at the same time on the same query; local 392 ms, API 676 ms on AMD Radeon.
Movie search running Laya locally and Jev over the API at the same time on the same query; local 392 ms, API 676 ms on AMD Radeon.
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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Local AI just beat the API. I built a movie search that runs Laya on my machine and Jev over the API at the same time. Same query. Same posters. Same quality. Local: 392 ms API: 676 ms Hardware: AMD Radeon Pro 5500 XT Then I flipped the toggle: Laya vs Jev deciding the Show more