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    EvalForge

    EvalForge

    AI Evaluation & Testing Framework

    Systematically evaluate, benchmark, and optimize your AI models with production-grade testing pipelines. Catch regressions before they reach production.

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    What is EvalForge?

    EvalForge is an automated evaluation platform that helps teams systematically test AI model outputs against custom criteria. Build repeatable evaluation pipelines that run on every model change.

    From simple accuracy checks to complex multi-dimensional scoring, EvalForge provides the testing infrastructure your AI team needs to ship with confidence.

    Automated Evaluation Pipeline

    Key Features

    Everything you need to evaluate AI at scale

    Automated Test Suites

    Create reusable test suites with custom assertions, golden datasets, and automated scoring rubrics.

    Custom Benchmarks

    Define domain-specific benchmarks that measure what matters for your use case — not generic leaderboard metrics.

    Regression Detection

    Automatically detect quality regressions when models are updated, prompts change, or configurations shift.

    Quality Scoring

    Multi-dimensional scoring with customizable weights, human-in-the-loop feedback, and trend analysis.

    How It Works

    Get started in four simple steps

    1

    Define Criteria

    Set evaluation criteria, scoring rubrics, and test datasets.

    2

    Run Evaluations

    Execute evaluations across models, prompts, and configurations.

    3

    Analyze Results

    Review detailed reports with scores, trends, and comparisons.

    4

    Iterate & Improve

    Refine your models and prompts based on evaluation insights.

    Use Cases

    How teams use EvalForge to improve AI quality

    Model Selection

    Compare multiple models side-by-side on your specific tasks to find the best fit for cost, quality, and latency.

    Prompt Optimization

    A/B test prompt variations with statistical rigor to find the highest-performing prompt for each use case.

    Production Monitoring

    Continuously evaluate live outputs to detect quality drift and alert your team before users are impacted.

    Compliance Testing

    Verify that AI outputs meet regulatory and safety requirements with automated compliance test suites.