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DeepEval - AI Model Development Tool

Overview

DeepEval is an open-source evaluation toolkit for AI models that provides advanced metrics for both text and multimodal outputs. It includes multimodal G-Eval, conversational evaluation using a list of Turns, platform integration support, and comprehensive documentation.

Key Features

  • Advanced metrics for text and multimodal outputs
  • Multimodal G-Eval support
  • Conversational evaluation using a list of Turns
  • Platform integration support
  • Comprehensive documentation and examples

Ideal Use Cases

  • Benchmarking language model performance across text metrics
  • Evaluating multimodal models (image, text, other modalities)
  • Measuring conversational agent responses over turn-based dialogues
  • Building automated model-evaluation pipelines
  • Comparing model outputs using standardized evaluation metrics

Getting Started

  • Open the DeepEval GitHub releases page
  • Download the latest release artifact
  • Read the included documentation and examples
  • Run supplied evaluation examples to validate setup
  • Integrate the toolkit into your evaluation pipeline

Pricing

Open-source release on GitHub; no pricing or commercial tiers disclosed in the provided tool data.

Key Information

  • Category: Model Development
  • Type: AI Model Development Tool
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