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What is Evaluator?

An evaluator plays a crucial role in guiding decision-making by methodically assessing multiple options against a common set of standards. For example, when selecting a vendor’s offering, considerations such as features, costs, and availability are evaluated. Each choice is assigned a numerical score based on these established criteria, which simplifies the comparison process among the alternatives. The importance of each criterion can be customized through weighting, which influences its contribution to the overall evaluation score. This tool also promotes collaborative assessments, enabling various stakeholders to input their scores, resulting in a unified scorecard that captures the group's collective viewpoint. The results of this assessment can be presented in various formats and compiled into a detailed report for further analysis. Users also have the flexibility to set a scorecard baseline at any point for the sake of auditing. Moreover, they can create scorecard templates from existing evaluation criteria, streamlining the process of developing new scorecards that utilize the same standards for evaluating different options. Additionally, assigning appropriate weights to each criterion based on their significance in the decision-making process is vital for achieving fair and balanced evaluations. Ultimately, this systematic approach enhances the clarity and effectiveness of the decision-making process, enabling users to make well-informed choices.

What is Clef?

Clef is an advanced multimodal decision-making model featuring 27 billion parameters, designed to convert a specified state and a schema of typed inquiries into organized results. This innovative model can process state information in multiple formats, such as text, JSON, images, and video, generating probabilities for each viable option associated with each inquiry. With a substantial context window of 65,536 tokens and the ability to process visual inputs, Clef allows developers to integrate both structured application data and visual content into a cohesive decision-making framework. It supports three unique formats for typed inquiries: noul, which evaluates the probability of a statement being accurate; choice, which facilitates selection from a set of predefined choices while offering probability estimates for each; and score, which measures an input against defined criteria to produce a probability-weighted score. Users can pose between 1 and 64 questions in a single request, with the answers being returned using the same identifiers, significantly improving the model's effectiveness and adaptability. This all-encompassing strategy guarantees that Clef can be utilized across various applications, catering to a wide spectrum of decision-making challenges and opportunities. Furthermore, the versatility of Clef's design makes it an invaluable tool for developers aiming to enhance their analytical capabilities in diverse fields.

Media

Media

Integrations Supported

Mimasa AI

Integrations Supported

JSON
Markdown
Python
TypeScript

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Midrig

Company Location

United Kingdom

Company Website

midrig.com/evaluator/

Company Facts

Organization Name

Cloudflare

Date Founded

2009

Company Location

United States

Company Website

developers.cloudflare.com/workers-ai/models/clef/

Categories and Features

Decision Support

Data Analysis

Categories and Features

AI Decision Models

Not specified

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