GreatLibrarianFrontend

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.