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Description
Imubit’s artificial intelligence platform provides instantaneous, closed-loop optimization of processes in heavy industries by integrating a dynamic process simulator, a reinforcement-learning neural controller, and performance monitoring dashboards. The dynamic simulator utilizes extensive historical plant data and is informed by fundamental principles to create a virtual representation of actual processes, facilitating what-if analyses regarding variable interactions, changes in constraints, and adjustments in operational strategies. Meanwhile, the reinforcement-learning controller, which has been trained offline using millions of trial-and-error scenarios, is employed to continuously optimize control variables, thereby enhancing profit margins while adhering to safety constraints. Real-time dashboards monitor the availability of the model, user engagement, and operational uptime, while also providing interactive visual representations of boundary conditions, operational limits, and trends in key performance indicators. Applications of this technology include synchronizing economic strategies with real-time operational data and identifying instances of process deterioration, ensuring enhanced efficiency and safety across operations. This comprehensive approach empowers industries to adapt swiftly and effectively to changing conditions.
Description
Olmo 3 represents a comprehensive family of open models featuring variations with 7 billion and 32 billion parameters, offering exceptional capabilities in base performance, reasoning, instruction, and reinforcement learning, while also providing transparency throughout the model development process, which includes access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a window of 65,536 tokens), and provenance tools. The foundation of these models is built upon the Dolma 3 dataset, which comprises approximately 9 trillion tokens and utilizes a careful blend of web content, scientific papers, programming code, and lengthy documents; this thorough pre-training, mid-training, and long-context approach culminates in base models that undergo post-training enhancements through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, resulting in the creation of the Think and Instruct variants. Notably, the 32 billion Think model has been recognized as the most powerful fully open reasoning model to date, demonstrating performance that closely rivals that of proprietary counterparts in areas such as mathematics, programming, and intricate reasoning tasks, thereby marking a significant advancement in open model development. This innovation underscores the potential for open-source models to compete with traditional, closed systems in various complex applications.
API Access
Has API
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API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Imubit
Founded
2016
Country
United States
Website
imubit.com
Vendor Details
Company Name
Ai2
Founded
2014
Country
United States
Website
allenai.org/blog/olmo3