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DeepEval - AI Model Libraries & Training Tool

Overview

DeepEval is an open-source evaluation toolkit that provides advanced metrics for both text and multimodal AI outputs. It supports multimodal G-Eval and conversational evaluation using a list of Turns, with platform integration and comprehensive documentation; releases are available on GitHub.

Key Features

  • Advanced metrics for text and multimodal model outputs
  • Support for multimodal G-Eval
  • Conversational evaluation using a list of Turns
  • Platform integration capabilities
  • Comprehensive documentation

Ideal Use Cases

  • Evaluate text model generation quality
  • Assess multimodal model outputs
  • Benchmark conversational agents using conversational turns
  • Adopt standardized evaluation metrics across projects
  • Integrate evaluation into development workflows

Getting Started

  • Open the GitHub releases page linked in the repository
  • Download the release or clone the repository
  • Follow repository documentation for installation and configuration
  • Run evaluation examples or adapt scripts to your models

Pricing

Open-source; releases available on GitHub. Pricing or commercial licensing details are not disclosed in the repository.

Limitations

  • Pricing and commercial support details are not specified in the repository

Key Information

  • Category: Model Libraries & Training
  • Type: AI Model Libraries & Training Tool
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