Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Clef-flash is a rapid 9B multimodal decision-making model that converts a given state and a framework of typed inquiries into organized decisions. It has the capability to interpret state data in various formats such as text, JSON, images, or video, providing a probability for each possible option related to every question posed. The model accommodates a context window of 24,576 tokens and supports visual input, enabling developers to analyze structured application data alongside visual materials seamlessly. Clef Flash features three specific formats for typed questions: "noul" for estimating the likelihood of a proposition being correct, "choice" for opting among a set of predefined alternatives with individual probabilities, and "score" for assessing input against a hierarchy of criteria to generate a probability-weighted score. Applications can pose between 1 and 64 questions in a single API call, with responses linked to the original question IDs. Potential applications include assessing the urgency of a support request, directing it to the appropriate team, and evaluating the severity of customer impact, thus enhancing operational efficiency in decision-making processes. By utilizing this model, organizations can improve their response strategies and streamline workflows further.
Description
Evaluator assists in making informed decisions by systematically comparing various alternatives against a unified set of criteria. For instance, when choosing a vendor's product or service, factors like features, pricing, and availability are taken into account. Each alternative receives a score based on these criteria, allowing for straightforward comparison among all options. The significance of each criterion can be adjusted through weighting, which modifies its effect on the total evaluation score. This tool also allows for collaborative input, where multiple individuals can contribute their scores, resulting in a consolidated scorecard that reflects the group's collective assessment. The outcomes of this evaluation can be displayed in different formats and compiled into a comprehensive report. Additionally, it is possible to establish a scorecard baseline at any time for auditing purposes. Users can create scorecard templates derived from pre-existing evaluation criteria, facilitating rapid development of new scorecards tailored for evaluating alternative options using the same benchmarks. Furthermore, it is essential to assign a weight to each criterion according to its importance in the decision-making process to ensure balanced evaluations.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
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)
No
In Person
No
Vendor Details
Company Name
Cloudflare
Founded
2009
Country
United States
Website
developers.cloudflare.com/workers-ai/models/clef-flash/
Vendor Details
Company Name
Midrig
Country
United Kingdom
Website
midrig.com/evaluator/
Product Features
Product Features
Decision Support
Application Development
No
Budgeting & Forecasting
No
Data Analysis
Yes
Decision Tree Analysis
No
Monte Carlo Simulation
No
Performance Metrics
No
Rules-Based Workflow
No
Sensitivity Analysis
No
Thematic Mapping
No
Version Control
No