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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Developing customer care marketing messages that promote a bias-free workplace is essential. Dost identifies toxic language, microaggressions, and unconscious bias in various forms of communication, including text, images, and videos, encouraging users to adjust their messaging accordingly. We have curated a range of resources designed to support you in managing change, enhancing communication, and effectively implementing Dost. This presentation outlines a comprehensive strategy for rolling out Dost, detailing the necessary steps for a successful launch within your organization. It serves as a practical guide for change leaders, offering clear directions on how to effectively introduce Dost to your workplace. Inside this document, you will find all the essential data required to advocate for the adoption of Dost among stakeholders and employees alike. Powered by advanced AI models, Dost specializes in identifying noninclusive language, which is defined based on established research criteria tailored for workplace communication. By utilizing insights gathered from both primary and secondary research, we ensure our AI models are equipped to foster a more inclusive environment. Ultimately, embracing tools like Dost can significantly enhance workplace dynamics and promote a culture of respect and understanding.

Description

Ornith-1.0 represents an innovative family of models tailored specifically for coding tasks that require agentic capabilities. This family encompasses a wide range of models, from the compact 9B Dense versions ideal for deployment on edge devices to the expansive 397B MoE frontier-scale models designed for peak performance, including variants such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built upon the foundational strengths of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 excels in achieving top-tier performance among open-source models that are similar in size when evaluated against coding benchmarks. A significant breakthrough of this model is its self-improving training framework, which effectively learns to produce both solution rollouts and the tailored scaffolds that direct those rollouts. Rather than depending on static, human-crafted harnesses, Ornith-1.0 perceives the scaffold as a dynamic entity that evolves alongside the policy, enabling the model to optimize both the orchestration of tasks and the resulting solutions in tandem. This dual optimization approach enhances the model's adaptability and effectiveness in real-world coding scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Bash
C
C#
C++
CSS
Go
Java
JavaScript
Kotlin
Krita.ai
Microsoft Teams
R
Rust
SQL
Scala
Slack
Swift
TypeScript
XML

Integrations

.NET
Bash
C
C#
C++
CSS
Go
Java
JavaScript
Kotlin
Krita.ai
Microsoft Teams
R
Rust
SQL
Scala
Slack
Swift
TypeScript
XML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Krita.ai

Founded

2020

Country

United States

Website

krita.ai/dost/

Vendor Details

Company Name

DeepReinforce

Country

United States

Website

deep-reinforce.com/ornith_1_0.html

Product Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Product Features

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