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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 Anthroly?

Anthroly operates as a dedicated data laboratory, offering specialized data solutions for cutting-edge AI research facilities and modeling teams. The organization gathers operational data from U.S. businesses, which includes workplace communications, emails, customer service inquiries, CRM histories, phone conversations, software code, engineering documents, and a variety of other records. This information is then transformed into de-identified datasets, reinforcement learning structures, agent pathways, supervised fine-tuning resources, and evaluation tools. In addition to data processing, Anthroly also focuses on the recruitment and assessment of professionals such as engineers, scientists, medical practitioners, and experts in Indic languages, enabling the creation of meticulously crafted tasks, benchmarks, model outputs, and evaluation metrics. Their portfolio of projects frequently includes customized sourcing, expert analysis, grading rubrics, automated evaluation tools, and thorough quality assessments. Anthroly ensures that its data licensing model involves the removal of identifiers before the data is transferred, thereby maintaining compliance with the stipulations outlined in contractual agreements. Clients can initiate expert-data projects with a pilot phase that typically lasts between one to two weeks, with pricing and project scopes tailored to fit specific client requirements. This personalized approach not only enhances flexibility but also allows clients to precisely access the expertise they need, thereby fostering innovation in their respective fields. Furthermore, such customization underscores Anthroly's commitment to delivering impactful solutions that align with the unique goals of each client.

Media

Media

No images available

Integrations Supported

YAML

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

U.S. data suppliers pay no listing fee or commission. Licensed records are priced individually after a de-identified sample review. Expert-data work can begin with a free or low-cost 1–2 week pilot.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

doteval

Company Website

www.doteval.com

Company Facts

Organization Name

Anthroly

Company Website

www.anthroly.com

Categories and Features

LLM Evaluation

Not specified

Categories and Features

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