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Exploring Jev for AI-Driven QA with agent-device

# Exploring Jev for AI-Driven QA with agent-device ... TypeSafe recently released Jev, a model for making fast, structured decisions. The company reports response times of 70 to…

# Exploring Jev for AI-Driven QA with agent-device ... TypeSafe recently released Jev, a model for making fast, structured decisions. The company reports response times of 70 to 500 milliseconds, with its workflow benchmarks showing up to 193.6x faster execution and 444.6x lower cost than the LLM co

Open source ↗ callstack.comcost-time-

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  1. 0616

    Jevstiller: distill Jev calls into a local model

    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

  2. 0611

    Scruple: code checks for what linters miss

    Semantic-aware linting with System One models: rules you can state in a sentence, checked against your code by Jev.

    @nalexpeae · Tools & apps

  3. 0606

    Algolia-style Postgres search with a Jev reranker

    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

  4. 0604

    Virtual Closet: outfits from closet videos

    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