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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Connect is a powerful module designed to swiftly load any corpus, irrespective of its type or origin, while also managing the metadata linked to each document. Proxem’s API provides the flexibility to integrate various tools with our technology, enabling the analysis of documents at set intervals and the leveraging of results from Semantic Analysis using external applications, in addition to performing terminology extraction, spell checking, and language identification, all executed in real time. Furthermore, Proxem Studio empowers users to gain in-depth insights into the subjects that are significant to both customers and employees through Sentiment Analysis and automated message classification. It also includes features like Customized Ranking Plans, Data Mining capabilities, visualizations of customer journeys, impact assessments, and the distribution of dashboards and alerts, all while identifying subtle trends and signals in the data. This comprehensive suite ultimately enhances decision-making processes by providing a clearer understanding of audience sentiments and behaviors.

Description

Tev1 is a rapid decision-making and classification model developed by Together AI, which has been fine-tuned from Qwen3.5 4B. Its user-friendly interface allows for the input of a state, a question, and between 2 to 24 labeled choices, enabling the model to output a single letter that can be mapped back to a semantic key by software. This design is particularly beneficial for various production tasks, such as managing support ticket routing, assessing automated returns, enforcing policy guidelines, sentiment analysis, document categorization, and integrating precise decision-making steps into larger agent workflows. With a parameter count of 4.7B and a 32.8K-token context window, the model operates with non-thinking generation to ensure fast and reliable classification. It has been trained on a diverse set of 37,840 examples covering areas such as intent detection, boolean comprehension, sentiment evaluation, policy application, as well as categorizing news and academic papers. The recommended configuration suggests using a temperature setting of 0 along with a minimal output budget, ensuring that the responses are both consistent and straightforward to interpret. In summary, Tev1 stands out as a versatile tool that efficiently addresses a wide range of classification needs.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python No 
Qwen3.5 No 
TypeScript No 

Integrations

Python Yes 
Qwen3.5 Yes 
TypeScript Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$0.04 per 1M tokens
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Proxem

Founded

2007

Country

France

Website

www.proxem.com/en/

Vendor Details

Company Name

Together AI

Founded

2022

Country

United States

Website

www.together.ai/models/tev1-4b-experimental

Product Features

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics Yes 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Product Features

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