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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
Integrations
.NET
Bash
C
C#
C++
CSS
Go
Java
JavaScript
Kotlin
Integrations
.NET
Bash
C
C#
C++
CSS
Go
Java
JavaScript
Kotlin
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