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What is Ornith-1.0?

Ornith-1.0 introduces a groundbreaking suite of models specifically designed for coding tasks that necessitate agent-like capabilities. This collection features a diverse array of models, ranging from the efficient 9B Dense versions suited for edge device deployment to the larger 397B MoE frontier-scale models optimized for maximum performance, including options such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Drawing on the robust foundations of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 stands out by delivering top-notch performance among open-source models of comparable sizes when assessed against coding benchmarks. A notable advancement of this model is its innovative self-improving training framework, which adeptly learns to generate both solution rollouts and the customized scaffolds that guide those rollouts. Instead of relying on static, manually crafted structures, Ornith-1.0 treats the scaffold as a fluid entity that evolves in sync with its policy, allowing the model to enhance both task orchestration and solution outcomes simultaneously. This dual-focused optimization significantly boosts the model's versatility and efficacy in practical coding applications, making it a vital tool for developers seeking cutting-edge solutions. As a result, Ornith-1.0 sets a new standard in the realm of coding models, promising advancements that could reshape how coding challenges are approached.

What is Dost?

Creating marketing messages for customer care that foster an inclusive workplace is crucial. Dost effectively identifies harmful language, microaggressions, and unconscious bias across various communication mediums, such as text, images, and videos, prompting users to refine their messaging strategies. To assist you in navigating this transformation, we have assembled an array of resources aimed at improving communication and facilitating the integration of Dost. This presentation provides a detailed roadmap for implementing Dost, outlining the essential steps needed for a successful rollout within your organization. It acts as a practical resource for change leaders, giving them straightforward guidance on how to seamlessly introduce Dost into their workplace. Within this document, you will discover all the vital information necessary to advocate for the adoption of Dost among both stakeholders and employees. Powered by sophisticated AI technology, Dost focuses on pinpointing noninclusive language, grounded in established research criteria specific to workplace interactions. By leveraging insights from comprehensive primary and secondary research, we ensure that our AI models are adept at nurturing a more inclusive atmosphere. The adoption of tools like Dost not only improves workplace interactions but also cultivates a deeper sense of respect and understanding among employees, ultimately benefiting the overall organizational culture. By prioritizing inclusivity through effective communication, companies can unlock the full potential of their diverse workforce.

Media

Media

Integrations Supported

Bash
C
C#
C++
Go
HTML
JavaScript
Kotlin
Kubernetes
Objective-C
PHP
Python
R
Ruby
Scala
Swift
TypeScript
YAML

Integrations Supported

Krita.ai
Lever

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

DeepReinforce

Company Location

United States

Company Website

deep-reinforce.com/ornith_1_0.html

Company Facts

Organization Name

Krita.ai

Date Founded

2020

Company Location

United States

Company Website

krita.ai/dost/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

Content Moderation

Not specified

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