Jev beats Gemini 2.5 Flash Lite on classifier eval quality and speed
Malte Ubl ran TypeSafe AI's Jev against an existing classifier eval, where it saturated the eval on quality and was 6x faster than Gemini 2.5 Flash Lite.
Building an AtCoder Difficulty Predictor with Jev
The author built an AtCoder ABC difficulty predictor with Jev and trained it with gradient boosting on about 1,000 problems, reaching an MAE close to top human level.
ちなみにこんな感じでABCのDifficulty推測をJevで組んで、これを過去1000問くらいで勾配ブースティングとかで学習させてみたら、trainデータと別のデータでMAE200弱くらい(人間最高峰と同レベル)まで行けたから、Jev適当に使ってこういうの試すのいいな、とは思ってます。SWE-2でもほぼ同精度だけどね
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Fast row classification in DuckDB with Jev
The author released a DuckDB extension that uses TypeSafe AI's Jev to quickly classify rows in CSV/Parquet files or DuckDB tables, taking about 10 seconds for 1k rows—faster than an LLM and more ergonomic than a classifier.
Classifying 1,018 AI Papers with Jev for $0.08
The author summarized each paper with DeepSeek V4 Flash, then sent the title, summary, and 24 candidate topics to Jev for classification, processing 1,018 AI papers at $0.08 total cost and 256ms median end-to-end latency per paper.
