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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 Learnable.ai?
Deep reinforcement learning (DRL) integrates the powerful perception abilities of deep learning with the sequential decision-making skills inherent in reinforcement learning. Learnable's DRL AI autonomously generates vast amounts of simulation data, which not only supports continuous self-improvement but also boosts predictive precision. By leveraging DRL technologies, Learnable has developed three distinct AI models, each designed for specific purposes. The Interactive AI model engages with human users, building a cognitive framework that interprets human intentions through minimal interactions, owing to its sophisticated grasp of various feedback types. Likewise, the eXplainable AI (XAI) emulates the human brain's capacity to understand the complex relationships among events, actions, and rewards, which allows it to clearly articulate the reasoning behind its decisions, distinguishing it from other AI frameworks. Consequently, XAI provides a level of transparency that fosters greater trust and comprehension among users regarding its decision-making processes. This innovative approach not only enhances user experience but also paves the way for more intuitive human-AI interactions.
Integrations Supported
.NET
Bash
C#
C++
CSS
Go
HTML
Kotlin
Kubernetes
Lua
API Availability
Has API
API Availability
Has API
Pricing Information
Free
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
DeepReinforce
Company Location
United States
Company Website
deep-reinforce.com/ornith_1_0.html
Company Facts
Organization Name
Learnable.ai
Date Founded
2016
Company Location
United States
Company Website
learnable.ai/#/
Categories and Features
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)