EvalsOne - Evaluate Generative AI Apps

EvalsOne

3.5 | 526 | 0
Type:
Website
Last Updated:
2025/08/16
Description:
EvalsOne: Platform for iteratively developing and perfecting generative AI applications, streamlining LLMOps workflow for competitive edge.
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AI evaluation
LLMOps
RAG
AI agents
model integration

Overview of EvalsOne

What is EvalsOne?

EvalsOne is a comprehensive platform designed to iteratively develop and optimize generative AI applications. It provides an intuitive evaluation toolbox to streamline LLMOps workflows, build confidence, and gain a competitive edge in the AI landscape.

How to use EvalsOne?

EvalsOne offers a one-stop evaluation toolbox suitable for crafting LLM prompts, fine-tuning RAG processes, and evaluating AI agents. Here's a breakdown of how to use it:

  • Prepare Eval Samples with Ease: Use templates and create variable values, run evaluation sample sets from OpenAI Evals, or copy and paste code from the Playground.
  • Comprehensive Model Integration: Supports generation and evaluation based on models deployed in various cloud and local environments, including OpenAI, Claude, Gemini, Mistral, Azure, Bedrock, Hugging Face, Groq, Ollama, Coze, FastGPT, and Dify.
  • Evaluators Out-of-the-Box: Integrates industry-leading evaluators and allows for the creation of personalized evaluators suitable for complex scenarios.

Why is EvalsOne important?

EvalsOne is important because it helps teams across the AI lifecycle streamline their LLMOps workflow. From developers to researchers and domain experts, EvalsOne provides an intuitive process and interface that empowers:

  • Easy creation of evaluation runs and organization in levels
  • Quick iteration and in-depth analysis through forked runs
  • Creation of multiple prompt versions for comparison and optimization
  • Clear and intuitive evaluation reports

Where can I use EvalsOne?

You can use EvalsOne in various LLMOps stages, from development to production environments. It is applicable for:

  • Crafting LLM prompts
  • Fine-tuning RAG processes
  • Evaluating AI agents

Best way to evaluate your Generative AI Apps?

The best way to evaluate your Generative AI Apps with EvalsOne involves using a combination of rule-based and LLM-based approaches, seamlessly integrating human evaluation for expert judgment. EvalsOne supports multiple judging methods, such as rating, scoring, and pass/fail, and provides not only judging results but also the reasoning process.

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