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What is paretos?

Paretos is leading the way in AI-powered decision-intelligence software that aims to improve the efficiency of decision-making processes. With Paretos, organizations can easily identify, plan, execute, and track their business opportunities through automated workflows that span the entire company. Our cloud-based platform makes complex data analysis as user-friendly as an email client, eliminating the need for complicated AI tools. Your data can be effortlessly and securely integrated, with results presented in an easy-to-navigate dashboard. This software provides users with valuable insights and actionable recommendations, enhancing the quality of their data and the effectiveness of their results. Uncover all the factors influencing your decisions and secure optimal solutions based on pertinent trade-offs. Paretos autonomously sets up the necessary input parameters, and our algorithm continues to adapt and refine your inputs to maximize performance. This guarantees that decision-making remains agile and effective in response to evolving circumstances, ensuring that organizations can stay ahead in a rapidly changing environment. As a result, companies can not only make better decisions but also cultivate a culture of data-driven insights that propel growth and innovation.

What is Ling 3.0 Tiny?

Ling 3.0 Tiny is an advanced reasoning model with open weights, consisting of 7.9 billion parameters in total and 1.3 billion that are active, while boasting a remarkable context window of 262,000 tokens. Utilizing a mixture-of-experts architecture, it expands the open-weights Pareto frontier in intelligence relative to its active parameters, all while maintaining a compact size suitable for deployment in various settings. With a score of 25 on the Artificial Analysis Intelligence Index, it rivals gpt-oss-120b, which has a score of 24, even though it uses 15 times fewer total parameters and 4 times fewer active parameters. This exceptional efficiency in parameters comes with a cost, as it demands a hefty 213 million output tokens to finalize the Intelligence Index evaluation. Moreover, Ling 3.0 Tiny shows significant progress in mitigating hallucination rates when compared to Ling-mini-2.0; it boosts its AA-Omniscience score by an impressive 59 points while maintaining consistent accuracy. Rather than resorting to random guesses in uncertain scenarios, the model opted to attempt only 37% of the posed questions during assessment, which resulted in a drastically lowered hallucination rate of 30%, a substantial improvement from the previous generation's staggering 96%. This strategic decision not only underscores the model's enhanced reasoning abilities but also emphasizes its potential for practical applications in the real world. Overall, Ling 3.0 Tiny exemplifies a significant step forward in the development of efficient and reliable AI models.

Media

Media

Integrations Supported

Amazon Ads
Amazon S3
Bing
Google Ads
Google Analytics
Google Sheets
Instagram Ads
JSON
Meta Ads
Meta Business Suite
Microsoft Advertising
MySQL
OpenClaw
OpenRouter
Pinterest Ads
PostgreSQL
SAP Cloud Platform
SQL Server
Shopify
Snowflake

Integrations Supported

Amazon Ads
Amazon S3
Bing
Google Ads
Google Analytics
Google Sheets
Instagram Ads
JSON
Meta Ads
Meta Business Suite
Microsoft Advertising
MySQL
OpenClaw
OpenRouter
Pinterest Ads
PostgreSQL
SAP Cloud Platform
SQL Server
Shopify
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

paretos

Date Founded

2020

Company Location

Germany

Company Website

www.paretos.com

Company Facts

Organization Name

Ant Group

Date Founded

2014

Company Location

China

Company Website

ant-ling.com

Categories and Features

Categories and Features

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