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.
Structuring Consumer Complaint Data with Jev
Marc Watkins shares using Jev to sort and analyze complaint data from the Consumer Financial Protection Bureau API, arguing fast, inexpensive probabilistic LLMs will upend resource-intensive data activities.
Using Jev for data sorting and analysis is something! Here it is structuring data from complaints filed via the Consumer Financial Protection Bureau API. Using an inexpensive, fast, probability LLM is going to upend so many of the resource intensive data activities we do.
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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.
