Clef-flashCloudflare
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EvaluatorMidrig
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Related Products
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About
Clef-flash is a fast 9B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and returns a probability for every allowed option of every question. The model supports a 24,576-token context window and vision input, allowing developers to evaluate structured application data and visual content within the same workflow. Clef Flash supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options with per-option probabilities, and score for evaluating an input against ordered criteria and returning a probability-weighted score. Applications can submit from 1 to 64 questions in a single request, with answers returned under the same question IDs. Example uses include deciding whether a support request is urgent, routing it to the correct team, and scoring the severity of customer impact.
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About
Evaluator helps you to make a structured decision when considering a variety of options against a common set of criteria. For example, selecting a vendor’s product or service based on features, cost, supply, etc. Each option is scored against the criteria, and the results for all the options can then be compared. Each criterion can be weighted based on its relative importance, to adjust its influence on the overall score. Evaluator enables a group of people to participate in the evaluation by recording their individual scores, which are consolidated into an overall scorecard for the group. The results can be viewed in various formats and presented in a report. At any point in time, a baseline can be taken of the scorecard for audit purposes. Scorecard templates can be created from existing evaluation criteria in order to quickly create a new scorecard for evaluating a new set of options based on the same criteria. Specify a weight for each criteria based on their relative importance.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers and AI application teams in search of a tool to classify, score, route, and evaluate text, structured data, images, or video with a fast multimodal decision model
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Audience
Companies searching for a solution to make a structured decision when considering a variety of options
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationCloudflare
Founded: 2009
United States
developers.cloudflare.com/workers-ai/models/clef-flash/
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Company InformationMidrig
United Kingdom
midrig.com/evaluator/
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Alternatives |
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Categories |
Categories |
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Decision Support Features
Application Development
Not Supported
Budgeting & Forecasting
Not Supported
Data Analysis
Supported
Decision Tree Analysis
Not Supported
Monte Carlo Simulation
Not Supported
Performance Metrics
Not Supported
Rules-Based Workflow
Not Supported
Sensitivity Analysis
Not Supported
Thematic Mapping
Not Supported
Version Control
Not Supported
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Integrations
Markdown
Supported
Mimasa AI
Not Supported
Python
Supported
TypeScript
Supported
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Integrations
Markdown
Not Supported
Mimasa AI
Supported
Python
Not Supported
TypeScript
Not Supported
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