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GreatLibrarianFrontend

Large model test toolkit front-end framework for efficient testing and collaborative evaluation of large language models.

Introduction

GreatLibrarianFrontend

GreatLibrarianFrontend is an open-source front-end framework designed for testing large language models. This toolkit supports a wide range of testing capabilities, including:

Key Features:
  • Foundation Capability Testing: Assess the basic capabilities of models using multiple API keys.
  • Illusion Detection: Evaluate how models respond to unrealistic or fictional inputs.
  • Toxicity Assessment: Identify harmful or biased statements in model outputs.
  • Collaboration Features: Enable user collaboration in local networks with shared testing record reviews.
  • Report Generation: Download multiple iterations of testing reports for thorough analysis.
Benefits:
  • User-Friendly Setup: Minimal coding requirements, allowing easy access to comprehensive testing.
  • Efficient Performance Measurement: Quickly conduct extensive evaluations and gain insights into model behavior.
  • Community Contribution: Engage with and contribute to ongoing development efforts through GitHub.
Highlights:
  • Built using Vue for the front end and Flask for the back end, ensuring a modern web application architecture.
  • Supports a wide range of configurations, making it adaptable for various testing scenarios.

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

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