EvalsOne is a comprehensive and intuitive evaluation platform designed to streamline the process of prompt evaluation for generative AI models. This one-stop evaluation toolbox is essential for quality control and risk mitigation before deploying AI models into production environments. It offers a versatile set of features that cater to various stages of the AI lifecycle, from development to production, ensuring that your GenAI-driven products are optimized and reliable.

The platform supports both rule-based and LLM-based approaches to automate the evaluation process, allowing for flexibility and precision. It seamlessly integrates human evaluation, leveraging expert judgment to enhance the accuracy and reliability of the assessments. This makes it suitable for crafting LLM prompts, fine-tuning RAG processes, and evaluating AI agents across different scenarios.

EvalsOne empowers teams by providing an intuitive process and interface. It allows for easy creation of evaluation runs and organization in levels, enabling quick iteration and in-depth analysis through forked runs. Users can create multiple prompt versions for comparison and optimization, ensuring that the best possible outcomes are achieved. The platform also offers clear and intuitive evaluation reports, making it easy to understand and act on the results.

Preparing evaluation samples is made easy with EvalsOne. It provides multiple ways to prepare samples, freeing users from tedious tasks and allowing them to focus on more creative work. Users can use templates and create a list of variable values, run evaluation sample sets from OpenAI Evals online, or quickly run evals by copying and pasting code from the Playground. The platform also leverages the power of LLM to intelligently extend your eval dataset, enhancing the breadth and depth of evaluations.

Comprehensive model integration is another key feature of EvalsOne. It supports generation and evaluation based on models deployed in various cloud and local environments. Users can get started quickly with shared models or add their own private models. The platform supports mainstream large model providers such as OpenAI, Claude, Gemini, Mistral, and more. It also supports cloud-run containers from Azure, Bedrock, Hugging Face, Groq, and local-run models via Ollama or API calls. Additionally, it integrates with Agent orchestration tools such as Coze, FastGPT, and Dify, enhancing its versatility and applicability.

Evaluators are crucial for effective evaluation, and EvalsOne excels in this area. It integrates various industry-leading evaluators, ready to use out-of-the-box, and allows for the creation of personalized evaluators compatible with industry standards. This makes it suitable for complex scenarios. The platform provides preset evaluators to meet common evaluation scenarios and allows users to create custom evaluators based on templates to meet individual needs. It supports multiple judging methods such as rating, scoring, pass/fail, and not only provides judging results but also the reasoning process, ensuring comprehensive and insightful evaluations.

In summary, EvalsOne is a powerful and versatile evaluation platform that streamlines the process of prompt evaluation for generative AI models. It offers a comprehensive set of features, intuitive interfaces, and seamless integration with various models and tools, making it an essential tool for anyone involved in the development and deployment of GenAI-driven products.