✦ Emerging

Jev model performance benchmarks

Users report significant improvements in cost and speed when using the Jev model for tasks like classification, scoring, and verification, often achieving comparable or superior accuracy to existing methods.

10 signals · 10 builders · First seen Sep 20 · 5.6× momentum

TypesafeAI Jev Model for Document Classification

This project utilizes the TypesafeAI Jev model to classify legal documents across multiple questions at a high processing speed.

@gmarquezp_1h

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Testing out Jev by @typesafeai tonight on some chonky data, that is currently being handled by a

Testing out Jev by @typesafeai tonight on some chonky data, that is currently being handled by a qwen classifier. Want to see how it does on a job we already have running. Could be a big win if true Classification her

@gargdush1h

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TypesafeAI Jev Model

This project utilizes TypesafeAI's new Jev model to rate a Hinge profile with impressive speed.

@steveruizok1h

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TypeSafe AI for Output Verification

This project utilizes the Jev model to verify output accuracy for tasks involving Large Language Models (LLMs), aiming to improve cost and speed.

@WestlystX2h

Typesafe AI JED Model Performance

The JED model from Typesafe AI demonstrates exceptional performance across multiple classification tasks, suggesting it's a key component for building responsive and cost-effective AI applications.

@JakPan2h

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Jev Categorization Engine

This project utilizes Jev to match the categorization accuracy of Treasury's engine while being significantly cheaper and faster.

@junead_kh2h

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TypesafeAI Jev Model Testing

This project involves testing the Jev model from TypesafeAI on Carrick evaluations.

@djmoores_2h

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Typesafeai Jev

Jev is an independent index that provides BERT-level latency with frontier judgment on Choice, Score, and Noul, suitable for high-throughput pipelines.

@bezwax_2h

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Jev Classification Experiment

This project tests Jev for classifying verdicts from text, finding it to be cheaper, faster, and as accurate as other methods.

@reillyjodonnell2h

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Jev Severity Assignment Test Drive

Jev was tested on assigning severities to findings, resulting in significant cost and speed improvements with high accuracy.

@KorNimrod2h