Large Language Models

EvalsOne

A platform for evaluating and optimizing generative AI applications.

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A platform for evaluating and optimizing generative AI applications
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A platform for evaluating and optimizing generative AI applications

Overview

EvalsOne is a platform designed to streamline the process of prompt evaluation for generative AI applications. It provides a comprehensive suite of tools for iteratively developing and perfecting these applications, offering functionalities for evaluating LLM prompts, RAG flows, and AI agents. EvalsOne supports both rule-based and large language model-based evaluation methods, seamless integration of human evaluation, and various sample data preparation methods. It also offers extensive model and channel integration, along with customizable evaluation metrics.

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Access & connections

Where you can use EvalsOne.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Comprehensive evaluation of LLM prompts, RAG flows, and AI agents
  • Automated evaluation using rules or large language models
  • Seamless integration of human evaluation
  • Multiple methods for preparing evaluation samples
  • Extensive model and channel integration
  • Customizable evaluation metrics

FAQ 5

What is EvalsOne?
EvalsOne is a platform designed to streamline the process of prompt evaluation for generative AI applications. It provides a comprehensive suite of tools for iteratively developing and perfecting these applications, offering functionalities for evaluating LLM prompts, RAG flows, and AI agents. EvalsOne supports both rule-based and large language model-based evaluation methods, seamless integration of human evaluation, and various sample data preparation methods. It also offers extensive model and channel integration, along with customizable evaluation metrics.
How to use EvalsOne?
EvalsOne offers an intuitive interface for creating and organizing evaluation runs. Users can fork runs for quick iteration and in-depth analysis, compare template versions, and optimize prompts. The platform also provides clear and intuitive evaluation reports. Users can prepare evaluation samples using templates, variable value lists, OpenAI Evals samples, or by copying and pasting code from Playground. It supports various models and channels, including OpenAI, Claude, Gemini, Mistral, Azure, Bedrock, Hugging Face, Groq, Ollama, and API calls for local models, as well as integration with Agent orchestration tools like Coze, FastGPT, and Dify.
What types of AI applications can EvalsOne evaluate?
EvalsOne can evaluate LLM prompts, RAG flows, and AI agents.
What evaluation methods does EvalsOne support?
EvalsOne supports both rule-based and large language model-based evaluation methods, as well as seamless integration of human evaluation.
What models and channels does EvalsOne integrate with?
EvalsOne supports OpenAI, Claude, Gemini, Mistral, Azure, Bedrock, Hugging Face, Groq, Ollama, and API calls for local models. It also integrates with Agent orchestration tools like Coze, FastGPT, and Dify.
EvalsOne