✦ Emerging

Classify and route enterprise automation workflows

Jev models are used to classify and route various enterprise automation workflows, including legal documents, support tickets, and inbound deals, offering significant improvements in speed, cost, and accuracy.

18 builds · 18 builders · First seen Sep 20

TypeSafe Jev Performance Benchmark

This project benchmarks TypeSafe's Jev against a frontier Gemini model across 1,759 decisions, highlighting Jev's significantly faster processing times and lower cost, though with a marginal difference in accuracy.

Entagl@entagl_ai

5 views on XJev score 48

Stardust Production Pipeline JEV Implementation

This project integrates the @typesafeai JEV into the Stardust production pipeline, aiming to improve performance and cost-efficiency.

Kevin Johan Wong@notkelvinwong

14 views on XJev score 46

JEV Email Classification Performance

This project evaluates the efficiency of JEV for email classification, reporting high average accuracy and F1 scores on a large dataset.

Vaibhav@vaixbhav_

43 views on XJev score 44

Jev Data Classification

Jev is a data classification tool by Typesafe AI that operates in under 500 milliseconds.

Geeky Gadgets@GeekyGadgets

57 views on XJev score 29

Macaly with Jev Integration

Macaly has integrated Jev, a model from TypeSafeAI, enabling users to 'vibecode' applications and perform various sorting tasks such as sentiment analysis, spam detection, and categorization.

Petr Brzek@PetrBrzek

26 views on XJev score 32

TypeSafe AI Jav Resume Analysis

This project allows users to upload their resume and receive an analysis of the results, highlighting the model's analytical power and accuracy.

Taqi T| Tech consultant & Sr.Engineer@TanzilTaqi

29 views on XJev score 22

Jev for Transaction Classification

Jev is a tool that classifies financial transactions into categories, demonstrating significant speed and cost improvements over existing models for this task.

sritam@3thumb

7 views on XJev score 48

JEV Deal Classification

This project uses JEV to classify inbound deals, comparing its performance against an in-house AI rating module.

Aarjav shah@aarjavshahhh

8 views on XJev score 44

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.

Gonzalo Márquez@gmarquezp_

317 views on XJev score 51

Jev Classifier Performance Test

This project tests the performance of Jev, a classifier from @typesafeai, on a large dataset currently handled by a Qwen classifier, focusing on its ability to identify newsworthy content.

Dushyant Garg@gargdush

46 views on XJev score 29

TypesafeAI Jev Model

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

Steve Ruiz@steveruizok

89K views on XJev score 31

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.

Westlyst@WestlystX

22 views on XJev score 30

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.

Jakub Panik (🐍,💦)@JakPan

1.6K views on XJev score 22

Jev Categorization Engine

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

Junead Khan@junead_kh

262 views on XJev score 35

TypesafeAI Jev Model Testing

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

David Moores@djmoores_

23 views on XJev score 15

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.

Masteroflombrics@bezwax_

80 views on XJev score 30

Jev Classification Experiment

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

Reilly@reillyjodonnell

211 views on XJev score 36

Jev Severity Assignment Test Drive

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

Nimrod Kor@KorNimrod

107 views on XJev score 47