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.
Jev Connects to Databend: Filter and Classify in SQL with Model Probabilities
Databend connected Jev to its Python UDF server so SQL can filter, classify, and rank customer feedback records using model probabilities: Databend runs the query, Jev makes the bounded decision.
Keyword rules miss the meaning in customer feedback 🔍. We connected Jev to Databend's Python UDF server so SQL can filter, classify, and rank records using model probabilities 📊. Databend runs the query; Jev makes the bounded decision ✅. Explore: https://bit.ly/4xFq4Dp
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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.
