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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 

Screenshots View All

Screenshots View All

Integrations

JSON Yes 
Markdown Yes 
Python Yes 
TypeScript Yes 

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/

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