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What is doteval?

Doteval functions as a comprehensive AI-powered evaluation workspace that simplifies the creation of effective assessments, aligns judges utilizing large language models, and implements reinforcement learning rewards, all within a single platform. This innovative tool offers a user experience akin to Cursor, allowing for the editing of evaluations-as-code through a YAML schema, enabling the versioning of evaluations at various checkpoints, and replacing manual tasks with AI-generated modifications while evaluating runs in swift execution cycles to ensure compatibility with proprietary datasets. Furthermore, doteval supports the development of intricate rubrics and coordinated graders, fostering rapid iterations and the production of high-quality evaluation datasets. Users are equipped to make well-informed choices regarding updates to models or enhancements to prompts, alongside the ability to export specifications for reinforcement learning training. By significantly accelerating the evaluation and reward generation process by a factor of 10 to 100, doteval emerges as an indispensable asset for sophisticated AI teams tackling complex model challenges. Ultimately, doteval not only boosts productivity but also enables teams to consistently achieve exceptional evaluation results with greater simplicity and efficiency. With its robust features, doteval sets a new standard in the realm of AI evaluation tools, ensuring that teams can focus on innovation rather than logistical hurdles.

What is Antaeus?

Antaeus acts as a semantic policy engine aimed at developers focused on evaluating human-written rules concerning language, context, intent, or exceptions. The engine is built on an open-source core using Go and includes a command-line interface capable of loading policy artifacts in either YAML or JSON formats, validating them against versioned schemas while carrying out named regression tests. Through this evaluation process, it produces definitive results such as allow, review, deny, or failure, along with the identification of the policy and supporting evidence for the decisions rendered, while delegating the tasks of authentication, authorization, and subsequent actions to the application itself. Developers have the flexibility to run a deterministic, credential-free local workflow or take advantage of an experimental hosted dashboard and API for managing policies and assessing various inputs. Additionally, an experimental OpenAI evaluator is also available for testing purposes. It is essential to keep in mind that Antaeus is still in its developmental phase; therefore, the capacity of the hosted service is somewhat constrained and lacks a production-level service level agreement (SLA), which may lead to reliability issues when demand is high. As such, potential users should consider these limitations when integrating Antaeus into their workflows.

Media

Media

No images available

Integrations Supported

YAML

Integrations Supported

OpenAI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
The local Go engine is available under the Apache-2.0 license at no charge. Hosted usage includes a shared free allowance of up to 100 completed decisions per day, subject to shared capacity and without a production SLA. Paid usage is available through credit purchases starting at $10; hosted evaluation charges are usage-based.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

doteval

Company Website

www.doteval.com

Company Facts

Organization Name

Antaeus

Company Website

antaeus.io

Categories and Features

LLM Evaluation

Not specified

Categories and Features

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