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Description
Clef is a multimodal decision-making model with 27 billion parameters that transforms a given state and a schema of typed inquiries into structured outcomes. This model is capable of interpreting state information presented in various formats, including text, JSON, images, and video, and accordingly generates a probability for each permissible option linked to every question. Supporting a context window of 65,536 tokens along with vision input capabilities, Clef enables developers to analyze both structured application data and visual elements within a unified decision-making process. It accommodates three distinct formats for typed questions: noul, which estimates the likelihood of a proposition being true; choice, which allows for selection among predefined options while providing probabilities for each; and score, which assesses an input against a set of criteria to yield a probability-weighted score. Users can submit anywhere from 1 to 64 questions in a single request, with the corresponding answers returned under the same question identifiers, enhancing the model's efficiency and flexibility. This comprehensive approach ensures that a wide range of applications can leverage Clef's capabilities for diverse decision-making scenarios.
Description
EMSE is a comprehensive suite of sophisticated and user-friendly software tools designed for measuring, describing, and visualizing the dynamics of the human brain, utilized globally in fields such as neuroscience, neurotechnology, and clinical neurophysiology. Our expertise lies in advanced multimodal source estimation techniques, which empower researchers to integrate EEG and MRI datasets, thus providing clearer insights into both the spatial and temporal aspects of brain activity. Traditional neuroimaging methods, like magnetic resonance imaging (MRI), excel in locating brain activity but fall short in determining the timing of events. In contrast, electroencephalography (EEG) and its related technique, Event-Related Potentials (ERPs), can pinpoint when neural events occur with remarkable precision, but they struggle with spatial localization. By merging MRI and EEG data, EMSE uniquely addresses both the "where" and "when" questions of brain activity, offering a level of detail that neither technique can achieve on its own. This innovative approach is referred to as multimodal dynamic functional brain imaging or source estimation, allowing for a deeper understanding of the brain's intricate workings. By leveraging this technology, researchers can uncover new insights into brain dynamics that were previously unattainable.
API Access
Has API
Yes
API Access
Has API
No
Integrations
JSON
No
Markdown
No
Python
No
TypeScript
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Cloudflare
Founded
2009
Country
United States
Website
developers.cloudflare.com/workers-ai/models/clef/
Vendor Details
Company Name
Cortech Solutions
Founded
2001
Country
United States
Website
cortechsolutions.com/products/emse/